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Frank Schweitzer

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Wikipedia or ReplicationWiki mentions

(Only mentions on Wikipedia that link back to a page on a RePEc service)

    Mentioned in:

    1. Karsten Weihe in Wikipedia (German)

Working papers

  1. Rebekka Burkholz & Matt V. Leduc & Antonios Garas & Frank Schweitzer, 2015. "Systemic risk in multiplex networks with asymmetric coupling and threshold feedback," Papers 1506.06664, arXiv.org.

    Cited by:

    1. Matt V. Leduc & Sebastian Poledna & Stefan Thurner, 2016. "Systemic Risk Management in Financial Networks with Credit Default Swaps," Papers 1601.02156, arXiv.org, revised Oct 2017.

  2. Vahan Nanumyan & Antonios Garas & Frank Schweitzer, 2015. "The Network of Counterparty Risk: Analysing Correlations in OTC Derivatives," Papers 1506.04663, arXiv.org, revised Sep 2015.

    Cited by:

    1. Matthew O. Jackson & Agathe Pernoud, 2021. "Systemic Risk in Financial Networks: A Survey," Annual Review of Economics, Annual Reviews, vol. 13(1), pages 171-202, August.
    2. Callum Ward, 2021. "Contradictions of Financial Capital Switching: Reading the Corporate Leverage Crisis through The Port of Liverpool's Whole Business Securitization," International Journal of Urban and Regional Research, Wiley Blackwell, vol. 45(2), pages 249-265, March.
    3. Tao Xu & Jianmin He & Shouwei Li, 2016. "Multi-Channel Contagion In Dynamic Interbank Market Network," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 19(06n07), pages 1-25, September.
    4. Wang, Hu & Li, Shouwei, 2020. "Risk contagion in multilayer network of financial markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 541(C).
    5. Yan Zhang & Frank Schweitzer, 2021. "Quantifying the importance of firms by means of reputation and network control," Papers 2101.05010, arXiv.org.

  3. Tobias Scholl & Antonios Garas & Frank Schweitzer, 2015. "The spatial component of R&D networks," Papers 1509.08291, arXiv.org.

    Cited by:

    1. Jóna, György & Tóth, Tamás, 2017. "Spatial Effects And Externalities Of The Rivals’ Networks In Hungary," Journal of Tourism, Sustainability and Well-being, Cinturs - Research Centre for Tourism, Sustainability and Well-being, University of Algarve, vol. 5(3), pages 189-207.
    2. Antonios Garas & Celine Rozenblat & Frank Schweitzer, 2015. "The network structure of city-firm relations," Papers 1512.02859, arXiv.org.

  4. Antonios Garas & Celine Rozenblat & Frank Schweitzer, 2015. "The network structure of city-firm relations," Papers 1512.02859, arXiv.org.

    Cited by:

    1. Abhijit Chakraborty & Hiroyasu Inoue & Yoshi Fujiwara, 2020. "Economic complexity of prefectures in Japan," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-13, August.
    2. Abhijit Chakraborty & Hiroyasu Inoue & Yoshi Fujiwara, 2020. "Economic complexity of prefectures in Japan," Papers 2002.05785, arXiv.org, revised Aug 2020.

  5. David Garcia & Frank Schweitzer, 2015. "Social signals and algorithmic trading of Bitcoin," Papers 1506.01513, arXiv.org, revised Sep 2015.

    Cited by:

    1. Misha Perepelitsa & Ilya Timofeyev, 2022. "Self-sustained price bubbles driven by digital currency innovations and adaptive market behavior," SN Business & Economics, Springer, vol. 2(3), pages 1-15, March.
    2. Ross C Phillips & Denise Gorse, 2018. "Cryptocurrency price drivers: Wavelet coherence analysis revisited," PLOS ONE, Public Library of Science, vol. 13(4), pages 1-21, April.
    3. Aslanidis, Nektarios & Bariviera, Aurelio F. & Perez-Laborda, Alejandro, 2021. "Are cryptocurrencies becoming more interconnected?," Economics Letters, Elsevier, vol. 199(C).
    4. Laura Alessandretti & Abeer ElBahrawy & Luca Maria Aiello & Andrea Baronchelli, 2018. "Anticipating cryptocurrency prices using machine learning," Papers 1805.08550, arXiv.org, revised Nov 2018.
    5. Rolando Rubilar-Torrealba & Karime Chahuán-Jiménez & Hanns de la Fuente-Mella, 2023. "A Stochastic Analysis of the Effect of Trading Parameters on the Stability of the Financial Markets Using a Bayesian Approach," Mathematics, MDPI, vol. 11(11), pages 1-14, May.
    6. Gil Cohen, 2021. "Optimizing candlesticks patterns for Bitcoin's trading systems," Review of Quantitative Finance and Accounting, Springer, vol. 57(3), pages 1155-1167, October.
    7. Zura Kakushadze & Willie Yu, 2019. "Altcoin-Bitcoin Arbitrage," Papers 1903.06033, arXiv.org, revised Apr 2019.
    8. Georgios Bampinas & Theodore Panagiotidis, 2024. "How would the war and the pandemic affect the stock and cryptocurrency cross-market linkages?," Working Paper series 24-01, Rimini Centre for Economic Analysis.
    9. Romi Kher & Siri Terjesen & Chen Liu, 2021. "Blockchain, Bitcoin, and ICOs: a review and research agenda," Small Business Economics, Springer, vol. 56(4), pages 1699-1720, April.
    10. Parthajit Kayal & Purnima Rohilla, 2021. "Bitcoin in the economics and finance literature: a survey," SN Business & Economics, Springer, vol. 1(7), pages 1-21, July.
    11. Kraaijeveld, Olivier & De Smedt, Johannes, 2020. "The predictive power of public Twitter sentiment for forecasting cryptocurrency prices," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 65(C).
    12. Fantazzini, Dean & Nigmatullin, Erik & Sukhanovskaya, Vera & Ivliev, Sergey, 2016. "Everything you always wanted to know about bitcoin modelling but were afraid to ask," MPRA Paper 71946, University Library of Munich, Germany, revised 2016.
    13. Marthinsen, John E. & Gordon, Steven R., 2022. "The price and cost of bitcoin," The Quarterly Review of Economics and Finance, Elsevier, vol. 85(C), pages 280-288.
    14. Vahidin Jeleskovic & Stephen Mackay, 2023. "Intraday Trading Algorithm for Predicting Cryptocurrency Price Movements Using Twitter Big Data Analysis," Papers 2401.00603, arXiv.org.
    15. Ji, Qiang & Bouri, Elie & Lau, Chi Keung Marco & Roubaud, David, 2019. "Dynamic connectedness and integration in cryptocurrency markets," International Review of Financial Analysis, Elsevier, vol. 63(C), pages 257-272.
    16. Böyükaslan, Adem & Ecer, Fatih, 2021. "Determination of drivers for investing in cryptocurrencies through a fuzzy full consistency method-Bonferroni (FUCOM-F’B) framework," Technology in Society, Elsevier, vol. 67(C).
    17. Gil Cohen, 2021. "Optimizing Algorithmic Strategies for Trading Bitcoin," Computational Economics, Springer;Society for Computational Economics, vol. 57(2), pages 639-654, February.
    18. Rodolfo Angelo Magtanggol Iii De Guzman & Mike K. P. So, 2018. "Empirical Analysis Of Bitcoin Prices Using Threshold Time Series Models," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 13(04), pages 1-24, December.
    19. Dean Fantazzini & Stephan Zimin, 2020. "A multivariate approach for the simultaneous modelling of market risk and credit risk for cryptocurrencies," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 47(1), pages 19-69, March.
    20. Gil Cohen, 2023. "Intraday algorithmic trading strategies for cryptocurrencies," Review of Quantitative Finance and Accounting, Springer, vol. 61(1), pages 395-409, July.
    21. Abeer ElBahrawy & Laura Alessandretti & Andrea Baronchelli, 2019. "Wikipedia and Digital Currencies: Interplay Between Collective Attention and Market Performance," Papers 1902.04517, arXiv.org, revised Mar 2019.
    22. Misha Perepelitsa, 2021. "Psychological dimension of adaptive trading in cryptocurrency markets," Papers 2109.12166, arXiv.org.
    23. Siwen Zhou, 2021. "Exploring the driving forces of the Bitcoin currency exchange rate dynamics: an EGARCH approach," Empirical Economics, Springer, vol. 60(2), pages 557-606, February.
    24. Abeer ElBahrawy & Laura Alessandretti & Anne Kandler & Romualdo Pastor-Satorras & Andrea Baronchelli, 2017. "Evolutionary dynamics of the cryptocurrency market," Papers 1705.05334, arXiv.org, revised Nov 2017.
    25. Bouteska, Ahmed & Hajek, Petr & Abedin, Mohammad Zoynul & Dong, Yizhe, 2023. "Effect of twitter investor engagement on cryptocurrencies during the COVID-19 pandemic," Research in International Business and Finance, Elsevier, vol. 64(C).
    26. Hu, Junjie & Kuo, Weiyu & Härdle, Wolfgang Karl, 2019. "Risk of Bitcoin Market: Volatility, Jumps, and Forecasts," IRTG 1792 Discussion Papers 2019-024, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
    27. Zhou, Siwen, 2018. "Exploring the Driving Forces of the Bitcoin Exchange Rate Dynamics: An EGARCH Approach," MPRA Paper 89445, University Library of Munich, Germany.
    28. Jiri Kukacka & Ladislav Kristoufek, 2023. "Fundamental and speculative components of the cryptocurrency pricing dynamics," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-23, December.
    29. Fruehwirt, Wolfgang & Hochfilzer, Leonhard & Weydemann, Leonard & Roberts, Stephen, 2021. "Cumulation, crash, coherency: A cryptocurrency bubble wavelet analysis," Finance Research Letters, Elsevier, vol. 40(C).
    30. Gaies, Brahim & Nakhli, Mohamed Sahbi & Sahut, Jean-Michel & Schweizer, Denis, 2023. "Interactions between investors’ fear and greed sentiment and Bitcoin prices," The North American Journal of Economics and Finance, Elsevier, vol. 67(C).
    31. Dias, Ishanka K. & Fernando, J.M. Ruwani & Fernando, P. Narada D., 2022. "Does investor sentiment predict bitcoin return and volatility? A quantile regression approach," International Review of Financial Analysis, Elsevier, vol. 84(C).
    32. Fathin Faizah Said & Raja Solan Somasuntharam & Mohd Ridzwan Yaakub & Tamat Sarmidi, 2023. "Impact of Google searches and social media on digital assets’ volatility," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-17, December.
    33. S M Raju & Ali Mohammad Tarif, 2020. "Real-Time Prediction of BITCOIN Price using Machine Learning Techniques and Public Sentiment Analysis," Papers 2006.14473, arXiv.org.
    34. Zura Kakushadze & Willie Yu, 2019. "Altcoin-Bitcoin Arbitrage," Bulletin of Applied Economics, Risk Market Journals, vol. 6(1), pages 87-110.
    35. Laura Alessandretti & Abeer ElBahrawy & Luca Maria Aiello & Andrea Baronchelli, 2018. "Anticipating Cryptocurrency Prices Using Machine Learning," Complexity, Hindawi, vol. 2018, pages 1-16, November.
    36. Mingzhe Wei & Georgios Sermpinis & Charalampos Stasinakis, 2023. "Forecasting and trading Bitcoin with machine learning techniques and a hybrid volatility/sentiment leverage," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(4), pages 852-871, July.
    37. Mokni, Khaled & Bouteska, Ahmed & Nakhli, Mohamed Sahbi, 2022. "Investor sentiment and Bitcoin relationship: A quantile-based analysis," The North American Journal of Economics and Finance, Elsevier, vol. 60(C).
    38. Charfeddine, Lanouar & Benlagha, Noureddine & Maouchi, Youcef, 2020. "Investigating the dynamic relationship between cryptocurrencies and conventional assets: Implications for financial investors," Economic Modelling, Elsevier, vol. 85(C), pages 198-217.
    39. Ayana Aspembitova & Ling Feng & Valentin Melnikov & Lock Yue Chew, 2019. "Fitness preferential attachment as a driving mechanism in bitcoin transaction network," PLOS ONE, Public Library of Science, vol. 14(8), pages 1-20, August.
    40. Fantazzini, Dean & Nigmatullin, Erik & Sukhanovskaya, Vera & Ivliev, Sergey, 2017. "Everything you always wanted to know about bitcoin modelling but were afraid to ask. Part 2," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 45, pages 5-28.
    41. Fan Fang & Carmine Ventre & Michail Basios & Leslie Kanthan & David Martinez-Rego & Fan Wu & Lingbo Li, 2022. "Cryptocurrency trading: a comprehensive survey," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-59, December.
    42. Mark Mizraki, 2015. "Conversation with Mark Mizruchi:“There is Very Little Organizational Theory Left in Sociology Departments”," Journal of Economic Sociology, National Research University Higher School of Economics, vol. 16(3), pages 14-25.
    43. John E. Marthinsen & Steven R. Gordon, 2022. "The Price and Cost of Bitcoin," Papers 2204.13102, arXiv.org.
    44. Zura Kakushadze & Jim Kyung-Soo Liew, 2018. "CryptoRuble: From Russia with Love," Papers 1801.05760, arXiv.org.
    45. Isabela Ruiz Roque da Silva & Eli Hadad Junior & Pedro Paulo Balbi, 2022. "Cryptocurrencies trading algorithms: A review," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(8), pages 1661-1668, December.
    46. Gaies, Brahim & Nakhli, Mohamed Sahbi & Sahut, Jean Michel & Guesmi, Khaled, 2021. "Is Bitcoin rooted in confidence? – Unraveling the determinants of globalized digital currencies," Technological Forecasting and Social Change, Elsevier, vol. 172(C).
    47. Fan Fang & Carmine Ventre & Michail Basios & Leslie Kanthan & Lingbo Li & David Martinez-Regoband & Fan Wu, 2020. "Cryptocurrency Trading: A Comprehensive Survey," Papers 2003.11352, arXiv.org, revised Jan 2022.
    48. Nino Antulov-Fantulin & Tian Guo & Fabrizio Lillo, 2021. "Temporal mixture ensemble models for probabilistic forecasting of intraday cryptocurrency volume," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 44(2), pages 905-940, December.
    49. Thomas Günter Fischer & Christopher Krauss & Alexander Deinert, 2019. "Statistical Arbitrage in Cryptocurrency Markets," JRFM, MDPI, vol. 12(1), pages 1-15, February.
    50. M. Eren Akbiyik & Mert Erkul & Killian Kaempf & Vaiva Vasiliauskaite & Nino Antulov-Fantulin, 2021. "Ask "Who", Not "What": Bitcoin Volatility Forecasting with Twitter Data," Papers 2110.14317, arXiv.org, revised Dec 2022.
    51. Bleher, Johannes & Dimpfl, Thomas, 2019. "Today I got a million, tomorrow, I don't know: On the predictability of cryptocurrencies by means of Google search volume," International Review of Financial Analysis, Elsevier, vol. 63(C), pages 147-159.
    52. Gil Cohen, 2023. "Trading cryptocurrencies using algorithmic average true range systems," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(2), pages 212-222, March.
    53. Nino Antulov-Fantulin & Dijana Tolic & Matija Piskorec & Zhang Ce & Irena Vodenska, 2018. "Inferring short-term volatility indicators from Bitcoin blockchain," Papers 1809.07856, arXiv.org.
    54. Qiu, Yue & Wang, Zongrun & Xie, Tian & Zhang, Xinyu, 2021. "Forecasting Bitcoin realized volatility by exploiting measurement error under model uncertainty," Journal of Empirical Finance, Elsevier, vol. 62(C), pages 179-201.
    55. Ahmed, Walid M.A., 2022. "Robust drivers of Bitcoin price movements: An extreme bounds analysis," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).
    56. Misha Perepelitsa, 2021. "Investing in crypto: speculative bubbles and cyclic stochastic price pumps," Papers 2111.11315, arXiv.org, revised Oct 2022.
    57. Suardi, Sandy & Rasel, Atiqur Rahman & Liu, Bin, 2022. "On the predictive power of tweet sentiments and attention on bitcoin," International Review of Economics & Finance, Elsevier, vol. 79(C), pages 289-301.
    58. Tianyu Ray Li & Anup S. Chamrajnagar & Xander R. Fong & Nicholas R. Rizik & Feng Fu, 2018. "Sentiment-Based Prediction of Alternative Cryptocurrency Price Fluctuations Using Gradient Boosting Tree Model," Papers 1805.00558, arXiv.org.
    59. Lars Steinert & Christian Herff, 2018. "Predicting altcoin returns using social media," PLOS ONE, Public Library of Science, vol. 13(12), pages 1-12, December.
    60. Vasu Kalariya & Pushpendra Parmar & Patel Jay & Sudeep Tanwar & Maria Simona Raboaca & Fayez Alqahtani & Amr Tolba & Bogdan-Constantin Neagu, 2022. "Stochastic Neural Networks-Based Algorithmic Trading for the Cryptocurrency Market," Mathematics, MDPI, vol. 10(9), pages 1-15, April.
    61. Irena Barjav{s}i'c & Nino Antulov-Fantulin, 2020. "Time-varying volatility in Bitcoin market and information flow at minute-level frequency," Papers 2004.00550, arXiv.org, revised Jan 2021.
    62. Chu, Jeffrey & Chan, Stephen & Zhang, Yuanyuan, 2020. "High frequency momentum trading with cryptocurrencies," Research in International Business and Finance, Elsevier, vol. 52(C).
    63. Mahboubeh Faghih Mohammadi Jalali & Hanif Heidari, 2020. "Predicting changes in Bitcoin price using grey system theory," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-12, December.

  6. Mauro V. Tomasello & Mauro Napoletano & Antonios Garas & Frank Schweitzer, 2013. "The Rise and Fall of R&D Networks," LEM Papers Series 2013/18, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.

    Cited by:

    1. Johannes Pol & Jean-Paul Rameshkoumar, 2018. "The co-evolution of knowledge and collaboration networks: the role of the technology life-cycle," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(1), pages 307-323, January.
    2. Claudio J. Tessone, "undated". "Collective behaviour induced by network volatility," Working Papers ETH-RC-14-010, ETH Zurich, Chair of Systems Design.
    3. Konan Alain N'Ghauran & Corinne Autant-Bernard, 2020. "Assessing the collaboration and network additionality of innovation policies: a counterfactual approach to the French cluster policy," Working Papers halshs-02482546, HAL.
    4. Mauro Caminati, 2021. "Knowledge distance and R&D collaboration in Cournot oligopoly," Metroeconomica, Wiley Blackwell, vol. 72(1), pages 57-81, February.
    5. Michael Fritsch & Muhamed Kudic, 2022. "Micro dynamics and macro stability in inventor networks," The Journal of Technology Transfer, Springer, vol. 47(2), pages 353-382, April.
    6. Wang, Jingbei & Yang, Naiding & Zhang, Yanlu & Song, Yue, 2019. "Modeling and simulation of the cascading failure of R&D network considering the community structure," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 522(C), pages 43-53.
    7. MAULEON Ana, & SEMPERE-MONERRIS Jose J., & VANNETELBOSCH Vincent,, 2018. "R&D network formation with myopic and farsighted firms," LIDAM Discussion Papers CORE 2018026, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    8. Mauro Napoletano & Eric Guerci & Nobuyuki Hanaki, 2018. "Recent advances in financial networks and agent-based model validation," Post-Print hal-02299235, HAL.
    9. Mohamad Alghamdi, 2020. "Economics Performance Under Endogenous Knowledge Spillovers," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 27(2), pages 175-192, June.
    10. Silvia Vicente-Oliva & Ángel Martínez-Sánchez & Luis Berges-Muro, 2016. "Enhancing The Outcomes In R&D Collaborative Projects: An Empirical Analysis Of The Middle Ebro Valley In Spain," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 20(07), pages 1-34, October.
    11. Muhamed Kudic & Wilfried Ehrenfeld & Toralf Pusch, 2015. "On the trail of core–periphery patterns in innovation networks: measurements and new empirical findings from the German laser industry," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 55(1), pages 187-220, October.
    12. Tobias Scholl & Antonios Garas & Frank Schweitzer, 2015. "The spatial component of R&D networks," Papers 1509.08291, arXiv.org.
    13. Hiller, Timo, 2022. "A simple model of network formation with competition effects," Journal of Mathematical Economics, Elsevier, vol. 99(C).
    14. Kudic, Muhamed & Ehrenfeld, Wilfried & Pusch, Toralf, 2015. "Isolation and Innovation – Two Contradictory Concepts? Explorative Findings from the German Laser Industry," IWH Discussion Papers 1/2015, Halle Institute for Economic Research (IWH).
    15. Muhamed Kudic & Matthias Müller & Tobias Buchmann & Andreas Pyka & Jutta Günther, 2021. "Network dynamics, economic transition, and policy design—an introduction," Review of Evolutionary Political Economy, Springer, vol. 2(1), pages 1-8, April.
    16. Bryan S. Graham, 2019. "Network Data," Papers 1912.06346, arXiv.org.
    17. Hervouet, A. & Trommetter, M., 2020. "Public-private R&D partnerships: A solution to increase knowledge sharing in R&D cooperation," Working Papers 2020-07, Grenoble Applied Economics Laboratory (GAEL).
    18. Michael Fritsch & Muhamed Kudic, 2016. "Preferential Attachment and Pattern Formation in R&D Networks - Plausible explanation or just a widespread myth?," Jena Economics Research Papers 2016-005, Friedrich-Schiller-University Jena.
    19. Li, Ruimeng & Yang, Naiding & Zhang, Yanlu & Liu, Hui & Zhang, Mingzhen, 2021. "Impacts of module–module aligned patterns on risk cascading propagation in complex product development (CPD) interdependent networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 564(C).
    20. Liu, Hui & Yang, Naiding & Yang, Zhao & Lin, Jianhong & Zhang, Yanlu, 2020. "The impact of firm heterogeneity and awareness in modeling risk propagation on multiplex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 539(C).
    21. Castellani, Davide & Piva, Mariacristina & Schubert, Torben & Vivarelli, Marco, 2016. "R&D and Productivity in the US and the EU: Sectoral Specificities and Differences in the Crisis," Papers in Innovation Studies 2016/15, Lund University, CIRCLE - Centre for Innovation Research.
    22. Luca Verginer & Federica Parisi & Jeroen van Lidth de Jeude & Massimo Riccaboni, 2022. "The Impact of Acquisitions in the Biotechnology Sector on R&D Productivity," Papers 2203.12968, arXiv.org, revised Jan 2024.
    23. Tobias Scholl & Antonios Garas & Frank Schweitzer, 2018. "The spatial component of R&D networks," Journal of Evolutionary Economics, Springer, vol. 28(2), pages 417-436, April.
    24. Johannes VAN DER POL & Jean Paul RAMESHKOUMAR, 2016. "The co-evolution of knowledge and collaboration networks: The role of technology life-cycle in Structural Composite Materials," Cahiers du GREThA (2007-2019) 2016-25, Groupe de Recherche en Economie Théorique et Appliquée (GREThA).
    25. Bryan S. Graham, 2019. "Network Data," CeMMAP working papers CWP71/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    26. Johannes van Der Pol & Jean-Paul Rameshkoumar & David Virapin & Bernard Zozime, 2014. "A preminary analysis of knowledge flows: The case of structural composite materials in aeronautics," Working Papers hal-01284991, HAL.
    27. Bastian Rake & Pablo D’Este & Maureen McKelvey, 2021. "Exploring network dynamics in science: the formation of ties to knowledge translators in clinical research," Journal of Evolutionary Economics, Springer, vol. 31(5), pages 1433-1464, November.

  7. Jan Lorenz & Stefano Battiston & Frank Schweitzer, 2009. "Systemic Risk in a Unifying Framework for Cascading Processes on Networks," Papers 0907.5325, arXiv.org, revised Jan 2010.

    Cited by:

    1. Josselin Garnier & George Papanicolaou & Tzu-Wei Yang, 2012. "Large deviations for a mean field model of systemic risk," Papers 1204.3536, arXiv.org, revised Aug 2012.
    2. Pawe{l} Sieczka & Didier Sornette & Janusz A. Ho{l}yst, 2010. "The Lehman Brothers Effect and Bankruptcy Cascades," Papers 1002.1070, arXiv.org, revised Sep 2011.
    3. Giada Adelfio & Arianna Agosto & Marcello Chiodi & Paolo Giudici, 2021. "Financial contagion through space-time point processes," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 30(2), pages 665-688, June.
    4. Erhan Bayraktar & Gaoyue Guo & Wenpin Tang & Yuming Paul Zhang, 2022. "Systemic robustness: a mean-field particle system approach," Papers 2212.08518, arXiv.org, revised Aug 2023.
    5. Paolo Giudici & Laura Parisi, 2016. "Bail in or Bail out? The Atlante example from a systemic risk perspective," DEM Working Papers Series 124, University of Pavia, Department of Economics and Management.
    6. Giudici, Paolo & Abu-Hashish, Iman, 2019. "What determines bitcoin exchange prices? A network VAR approach," Finance Research Letters, Elsevier, vol. 28(C), pages 309-318.
    7. Jan Lorenz & Stefano Battiston & Frank Schweitzer, "undated". "Systemic Risk in a Unifying Framework for Cascading Processes on Networks," Working Papers CCSS-09-011, ETH Zurich, Chair of Systems Design.
    8. Safarzyńska, Karolina & van den Bergh, Jeroen C.J.M., 2017. "Integrated crisis-energy policy: Macro-evolutionary modelling of technology, finance and energy interactions," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 119-137.
    9. Gogas, Periklis & Papadimitriou, Theophilos & Matthaiou, Maria, 2014. "A novel Banking Supervision Method using the Minimum Dominating Set," DUTH Research Papers in Economics 1-2014, Democritus University of Thrace, Department of Economics.
    10. Teruyoshi Kobayashi, 2013. "A model of financial contagion with variable asset returns may be replaced with a simple threshold model of cascades," Discussion Papers 1315, Graduate School of Economics, Kobe University.
    11. Paolo Giudici & Laura Parisi, 2016. "CoRisk: measuring systemic risk through default probability contagion," DEM Working Papers Series 116, University of Pavia, Department of Economics and Management.
    12. Andreas Joseph & Stephan Joseph & Guanrong Chen, 2013. "Cross-border Portfolio Investment Networks and Indicators for Financial Crises," Papers 1306.0215, arXiv.org, revised Jan 2014.
    13. Aymeric Vié & Alfredo J. Morales, 2021. "How Connected is Too Connected? Impact of Network Topology on Systemic Risk and Collapse of Complex Economic Systems," Computational Economics, Springer;Society for Computational Economics, vol. 57(4), pages 1327-1351, April.
    14. Schweitzer, Frank, 2021. "Social percolation revisited: From 2d lattices to adaptive networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 570(C).
    15. Covi, Giovanni & Gorpe, Mehmet Ziya & Kok, Christoffer, 2019. "CoMap: mapping contagion in the euro area banking sector," Working Paper Series 2224, European Central Bank.
    16. Giudici, Paolo, 2018. "Financial data science," Statistics & Probability Letters, Elsevier, vol. 136(C), pages 160-164.
    17. Paolo Giudici & Laura Parisi, 2018. "CoRisk: Credit Risk Contagion with Correlation Network Models," Risks, MDPI, vol. 6(3), pages 1-19, September.
    18. Teruyoshi Kobayashi & Kohei Hasui, 2013. "Efficient immunization strategies to prevent financial contagion," Papers 1308.0652, arXiv.org, revised Dec 2013.
    19. Sergey Nadtochiy & Mykhaylo Shkolnikov, 2017. "Particle systems with singular interaction through hitting times: application in systemic risk modeling," Papers 1705.00691, arXiv.org.
    20. Gualdi, Stanislao & Tarzia, Marco & Zamponi, Francesco & Bouchaud, Jean-Philippe, 2015. "Tipping points in macroeconomic agent-based models," Journal of Economic Dynamics and Control, Elsevier, vol. 50(C), pages 29-61.
    21. Paulo Ferreira & Éder J.A.L. Pereira & Hernane B.B. Pereira, 2020. "From Big Data to Econophysics and Its Use to Explain Complex Phenomena," JRFM, MDPI, vol. 13(7), pages 1-10, July.
    22. F. Schweitzer & D. Garcia, 2010. "An agent-based model of collective emotions in online communities," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 77(4), pages 533-545, October.
    23. Jean-Philippe Bouchaud, 2012. "Crises and collective socio-economic phenomena: simple models and challenges," Papers 1209.0453, arXiv.org, revised Dec 2012.
    24. Frank Schweitzer & Giona Casiraghi & Mario V. Tomasello & David Garcia, 2020. "Fragile, yet resilient: Adaptive decline in a collaboration network of firms," Papers 2011.13369, arXiv.org.
    25. Hossein Dastkhan & Naser Shams Gharneh, 2019. "Simulation of Contagion in the Stock Markets Using Cross-Shareholding Networks: A Case from an Emerging Market," Computational Economics, Springer;Society for Computational Economics, vol. 53(3), pages 1071-1101, March.
    26. Leonidas Sandoval Junior, 2014. "Dynamics in two networks based on stocks of the US stock market," Papers 1408.1728, arXiv.org, revised Aug 2014.
    27. Frank Schweitzer & Giorgio Fagiolo & Didier Sornette & Fernando Vega-Redondo & Douglas R. White, 2009. "Economic Networks: What Do We Know And What Do We Need To Know?," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 12(04n05), pages 407-422.
    28. Sandoval, Leonidas Junior, 2013. "To lag or not to lag? How to compare indices of stock markets that operate at different times," Insper Working Papers wpe_319, Insper Working Paper, Insper Instituto de Ensino e Pesquisa.
    29. Galvan, Giulio & Agarwal, Jitendra, 2020. "Assessing the vulnerability of infrastructure networks based on distribution measures," Reliability Engineering and System Safety, Elsevier, vol. 196(C).
    30. Sam Langfield & Kimmo Soramäki, 2016. "Interbank Exposure Networks," Computational Economics, Springer;Society for Computational Economics, vol. 47(1), pages 3-17, January.
    31. Matthew Elliott & Benjamin Golub & Matthew O. Jackson, 2014. "Financial Networks and Contagion," American Economic Review, American Economic Association, vol. 104(10), pages 3115-3153, October.
    32. Ellinas, Christos & Allan, Neil & Johansson, Anders, 2016. "Project systemic risk: Application examples of a network model," International Journal of Production Economics, Elsevier, vol. 182(C), pages 50-62.
    33. Claudio J. Tessone & Antonios Garas & Beniamino Guerra & Frank Schweitzer, "undated". "How big is too big? Critical Shocks for Systemic Failure Cascades," Working Papers ETH-RC-12-015, ETH Zurich, Chair of Systems Design.
    34. Rebekka Burkholz & Matt V. Leduc & Antonios Garas & Frank Schweitzer, 2015. "Systemic risk in multiplex networks with asymmetric coupling and threshold feedback," Papers 1506.06664, arXiv.org.
    35. Wang, Jianwei & Sun, Enhui & Xu, Bo & Li, Peng & Ni, Chengzhang, 2016. "Abnormal cascading failure spreading on complex networks," Chaos, Solitons & Fractals, Elsevier, vol. 91(C), pages 695-701.
    36. Xing, Lizhi & Guan, Jun & Dong, Xianlei & Wu, Shan, 2018. "Understanding the competitive advantage of TPP-related nations from an econophysics perspective: Influence caused by China and the United States," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 502(C), pages 164-184.
    37. Ying Chen & Paolo Giudici & Branka Hadji Misheva & Simon Trimborn, 2020. "Lead Behaviour in Bitcoin Markets," Risks, MDPI, vol. 8(1), pages 1-14, January.
    38. Imen Bedoui-Belghith & Slaheddine Hallara & Faouzi Jilani, 2023. "Crisis transmission degree measurement under crisis propagation model," SN Business & Economics, Springer, vol. 3(1), pages 1-27, January.
    39. Christos Ellinas & Christos Nicolaides & Naoki Masuda, 2022. "Mitigation strategies against cascading failures within a project activity network," Journal of Computational Social Science, Springer, vol. 5(1), pages 383-400, May.
    40. Wang, Jianwei & Cai, Lin & Xu, Bo & Li, Peng & Sun, Enhui & Zhu, Zhiguo, 2016. "Out of control: Fluctuation of cascading dynamics in networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 462(C), pages 1231-1243.
    41. Paolo Giudici & Laura Parisi, 2019. "Bail-In or Bail-Out? Correlation Networks to Measure the Systemic Implications of Bank Resolution," Risks, MDPI, vol. 7(1), pages 1-25, January.
    42. Christos Ellinas & Neil Allan & Anders Johansson, 2016. "Exploring Structural Patterns Across Evolved and Designed Systems: A Network Perspective," Systems Engineering, John Wiley & Sons, vol. 19(3), pages 179-192, May.
    43. Paolo Giudici & Laura Parisi, 2015. "Modeling Systemic Risk with Correlated Stochastic Processes," DEM Working Papers Series 110, University of Pavia, Department of Economics and Management.
    44. Iris Lucas & Michel Cotsaftis & Cyrille Bertelle, 2018. "Self-Organization, Resilience and Robustness of Complex Systems Through an Application to Financial Market from an Agent-Based Approach," Post-Print hal-02114928, HAL.
    45. Mario Eboli & Bulent Ozel & Andrea Teglio & Andrea Toto, 2023. "Connectivity, centralisation and ‘robustness-yet-fragility’ of interbank networks," Annals of Finance, Springer, vol. 19(2), pages 169-200, June.
    46. Didier Wernli & Lucas Böttcher & Flore Vanackere & Yuliya Kaspiarovich & Maria Masood & Nicolas Levrat, 2023. "Understanding and governing global systemic crises in the 21st century: A complexity perspective," Global Policy, London School of Economics and Political Science, vol. 14(2), pages 207-228, May.
    47. Jayles, Bertrand & Cheong, Siew Ann & Herrmann, Hans J., 2022. "Modeling the resilience of social networks to lockdowns regarding the dynamics of meetings," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 602(C).
    48. Paolo Giudici & Peter Sarlin & Alessandro Spelta, 2016. "The multivariate nature of systemic risk: direct and common exposures," DEM Working Papers Series 118, University of Pavia, Department of Economics and Management.
    49. Aymeric Vi'e & Alfredo J. Morales, 2019. "How connected is too connected? Impact of network topology on systemic risk and collapse of complex economic systems," Papers 1912.09814, arXiv.org.
    50. Rebekka Burkholz & Hans J. Herrmann & Frank Schweitzer, 2018. "Explicit size distributions of failure cascades redefine systemic risk on finite networks," Papers 1802.03286, arXiv.org.

  8. J. Emeterio Navarro Barrientos & Frank E. Walter & Frank Schweitzer, 2008. "Risk-Seeking versus Risk-Avoiding Investments in Noisy Periodic Environments," Papers 0801.4305, arXiv.org, revised Sep 2008.

    Cited by:

    1. Emeterio Navarro & Ruben Cantero & Joao Rodrigues & Frank Schweitzer, 2007. "Investments in Random Environments," Papers 0709.3630, arXiv.org, revised Sep 2008.

  9. Emeterio Navarro & Ruben Cantero & Joao Rodrigues & Frank Schweitzer, 2007. "Investments in Random Environments," Papers 0709.3630, arXiv.org, revised Sep 2008.

    Cited by:

    1. J. Emeterio Navarro Barrientos & Frank E. Walter & Frank Schweitzer, 2008. "Risk-Seeking versus Risk-Avoiding Investments in Noisy Periodic Environments," Papers 0801.4305, arXiv.org, revised Sep 2008.
    2. Emeterio Navarro & Ruben Cantero & Joao Rodrigues & Frank Schweitzer, 2007. "Investments in Random Environments," Papers 0709.3630, arXiv.org, revised Sep 2008.

  10. Frank Schweitzer & Giorgio Fagiolo & Didier Sornette & Fernando Vega-Redondo & Douglas R. White, "undated". "Economic Networks: What do we know and what do we need to know?," Working Papers CCSS-09-010, ETH Zurich, Chair of Systems Design.

    Cited by:

    1. Pawe{l} Sieczka & Didier Sornette & Janusz A. Ho{l}yst, 2010. "The Lehman Brothers Effect and Bankruptcy Cascades," Papers 1002.1070, arXiv.org, revised Sep 2011.
    2. Rutledge, John, 2015. "Economics as energy framework: Complexity, turbulence, financial crises, and protectionism," Review of Financial Economics, Elsevier, vol. 25(C), pages 10-18.
    3. Benjamin M. Tabak & M. Takami & J. M. C. Rocha & Daniel O. Cajueiro, 2011. "Directed Clustering Coefficient as a Measure of Systemic Risk in Complex Banking Networks," Working Papers Series 249, Central Bank of Brazil, Research Department.
    4. Zimo Yang & Tao Zhou & Pak Ming Hui & Jian-Hong Ke, 2012. "Instability in Evolutionary Games," PLOS ONE, Public Library of Science, vol. 7(11), pages 1-9, November.
    5. Michele Bernasconi & Matteo Galizzi, 2010. "Network formation in repeated interactions: experimental evidence on dynamic behaviour," Mind & Society: Cognitive Studies in Economics and Social Sciences, Springer;Fondazione Rosselli, vol. 9(2), pages 193-228, December.
    6. Lapatinas, Athanasios & Garas, Antonios, 2016. "The role of networks in firms’ multi-characteristics competition and market-share inequality," MPRA Paper 68959, University Library of Munich, Germany.
    7. Irena Vodenska & Alexander P. Becker & Di Zhou & Dror Y. Kenett & H. Eugene Stanley & Shlomo Havlin, 2016. "Community Analysis of Global Financial Markets," Risks, MDPI, vol. 4(2), pages 1-15, May.
    8. Anindya S. Chakrabarti & Sudarshan Kumar, 2020. "A computational algorithm to analyze unobserved sequential reactions of the central banks: inference on complex lead–lag relationship in evolution of policy stances," Journal of Computational Social Science, Springer, vol. 3(1), pages 33-54, April.
    9. Lapatinas Athanasios, 2014. "Understanding Voting Behaviour in Complex Political Systems," Mathematical Economics Letters, De Gruyter, vol. 2(3-4), pages 1-7, November.
    10. Brendan Markey-Towler & John Foster, 2013. "Understanding the causes of income inequality in complex economic systems," Discussion Papers Series 478, School of Economics, University of Queensland, Australia.
    11. Andreas Koulouris & Ioannis Katerelos & Theodore Tsekeris, 2013. "Multi-Equilibria Regulation Agent-Based Model of Opinion Dynamics in Social Networks," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, vol. 11(1), pages 51-70.
    12. Sokolov, Andrey & Webster, Rachel & Melatos, Andrew & Kieu, Tien, 2012. "Loan and nonloan flows in the Australian interbank network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(9), pages 2867-2882.
    13. Frank Schweitzer & Giona Casiraghi & Mario V. Tomasello & David Garcia, 2020. "Fragile, yet resilient: Adaptive decline in a collaboration network of firms," Papers 2011.13369, arXiv.org.
    14. Leonidas Sandoval Junior, 2014. "Dynamics in two networks based on stocks of the US stock market," Papers 1408.1728, arXiv.org, revised Aug 2014.
    15. Garas, Antonios & Lapatinas, Athanasios & Poulios, Konstantinos, 2015. "The complex-network based relation between migration and FDI in the OECD," MPRA Paper 68341, University Library of Munich, Germany.
    16. Rivera-Castro, Miguel A. & Miranda, José G.V. & Cajueiro, Daniel O. & Andrade, Roberto F.S., 2012. "Detecting switching points using asymmetric detrended fluctuation analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(1), pages 170-179.
    17. Faggini, Marisa & Bruno, Bruna & Parziale, Anna, 2019. "Crises in economic complex networks: Black Swans or Dragon Kings?," Economic Analysis and Policy, Elsevier, vol. 62(C), pages 105-115.
    18. Stephanie Rend'on de la Torre & Jaan Kalda & Robert Kitt & Juri Engelbrecht, 2016. "On the topologic structure of economic complex networks: Empirical evidence from large scale payment network of Estonia," Papers 1602.04352, arXiv.org.
    19. Andrey Sokolov & Rachel Webster & Andrew Melatos & Tien Kieu, 2012. "Loan and nonloan flows in the Australian interbank network," Papers 1202.3182, arXiv.org.
    20. John Rutledge, 2015. "Economics as energy framework: Complexity, turbulence, financial crises, and protectionism," Review of Financial Economics, John Wiley & Sons, vol. 25(1), pages 10-18, April.
    21. Rendón de la Torre, Stephanie & Kalda, Jaan & Kitt, Robert & Engelbrecht, Jüri, 2016. "On the topologic structure of economic complex networks: Empirical evidence from large scale payment network of Estonia," Chaos, Solitons & Fractals, Elsevier, vol. 90(C), pages 18-27.
    22. Christos Ellinas & Neil Allan & Caroline Coombe, 2018. "Evaluating the role of risk networks on risk identification, classification and emergence," Papers 1801.05759, arXiv.org.
    23. Christos Ellinas & Neil Allan & Anders Johansson, 2016. "Exploring Structural Patterns Across Evolved and Designed Systems: A Network Perspective," Systems Engineering, John Wiley & Sons, vol. 19(3), pages 179-192, May.
    24. Hoppe, K. & Rodgers, G.J., 2015. "A microscopic study of the fitness-dependent topology of the world trade network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 419(C), pages 64-74.
    25. Rainer Andergassen & Franco Nardini & Massimo Ricottilli, 2015. "Emergence and Resilience in a Model of Innovation and Network Formation," Networks and Spatial Economics, Springer, vol. 15(2), pages 293-311, June.
    26. Yan Zhang & Frank Schweitzer, 2021. "Quantifying the importance of firms by means of reputation and network control," Papers 2101.05010, arXiv.org.
    27. Caballero, Julian, 2015. "Banking crises and financial integration: Insights from networks science," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 34(C), pages 127-146.
    28. Chakrabarti, Anindya S. & Kumar, Sudarshan, 2019. "A computational algorithm to analyze unobserved sequential reactions of the central banks: Inference on complex lead-lag relationship in evolution of policy stances," IIMA Working Papers WP 2019-06-02, Indian Institute of Management Ahmedabad, Research and Publication Department.
    29. Moriah B. Bostian & Cinzia Daraio & Rolf Fare & Shawna Grosskopf & Maria Grazia Izzo & Luca Leuzzi & Giancarlo Ruocco & William L. Weber, 2018. "Inference for Nonparametric Productivity Networks: A Pseudo-likelihood Approach," DIAG Technical Reports 2018-06, Department of Computer, Control and Management Engineering, Universita' degli Studi di Roma "La Sapienza".

  11. Pavlin Mavrodiev & Claudio J. Tessone & Frank Schweitzer, "undated". "Quantifying the effects of social influence," Working Papers ETH-RC-13-001, ETH Zurich, Chair of Systems Design.

    Cited by:

    1. Gabriel Madirolas & Gonzalo G de Polavieja, 2015. "Improving Collective Estimations Using Resistance to Social Influence," PLOS Computational Biology, Public Library of Science, vol. 11(11), pages 1-16, November.
    2. Corentin Vande Kerckhove & Samuel Martin & Pascal Gend & Peter J Rentfrow & Julien M Hendrickx & Vincent D Blondel, 2016. "Modelling Influence and Opinion Evolution in Online Collective Behaviour," PLOS ONE, Public Library of Science, vol. 11(6), pages 1-25, June.
    3. Bertrand Jayles & Ramon Escobedo & Stéphane Cezera & Adrien Blanchet & Tatsuya Kameda & Clément Sire & Guy Théraulaz, 2020. "The impact of incorrect social information on collective wisdom in human groups," Post-Print hal-03019820, HAL.
    4. Mavrodiev, Pavlin & Schweitzer, Frank, 2021. "The ambigous role of social influence on the wisdom of crowds: An analytic approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 567(C).
    5. Bertrand Jayles & Clément Sire & Ralf H J M Kurvers, 2021. "Crowd control: Reducing individual estimation bias by sharing biased social information," PLOS Computational Biology, Public Library of Science, vol. 17(11), pages 1-28, November.
    6. Jean M Carlson & David L Alderson & Sean P Stromberg & Danielle S Bassett & Emily M Craparo & Francisco Guiterrez-Villarreal & Thomas Otani, 2014. "Measuring and Modeling Behavioral Decision Dynamics in Collective Evacuation," PLOS ONE, Public Library of Science, vol. 9(2), pages 1-17, February.
    7. Evangelos Ioannidis & Nikos Varsakelis & Ioannis Antoniou, 2020. "Promoters versus Adversaries of Change: Agent-Based Modeling of Organizational Conflict in Co-Evolving Networks," Mathematics, MDPI, vol. 8(12), pages 1-25, December.
    8. Jayles, Bertrand & Escobedo, Ramon & Cezera, Stéphane & Blanchet, Adrien & Kameda, Tatsuya & Sire, Clément & Théraulaz, Guy, 2020. "The impact of incorrect social information on collective wisdom in human groups," TSE Working Papers 1101, Toulouse School of Economics (TSE).

  12. Frank Schweitzer & David Garcia, "undated". "An Agent-Based Model of Collective Emotions in Online Communities," Working Papers CCSS-10-007, ETH Zurich, Chair of Systems Design.

    Cited by:

    1. Fan, Rui & Xu, Ke & Zhao, Jichang, 2018. "An agent-based model for emotion contagion and competition in online social media," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 495(C), pages 245-259.
    2. Mitrović, Marija & Tadić, Bosiljka, 2012. "Dynamics of bloggers’ communities: Bipartite networks from empirical data and agent-based modeling," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(21), pages 5264-5278.
    3. Claudio J. Tessone & Angel Sanchez & Frank Schweitzer, "undated". "Diversity-induced resonance in the response to social norms," Working Papers ETH-RC-12-017, ETH Zurich, Chair of Systems Design.
    4. Wen Zheng & Ailin Yu & Ping Fang & Kaiping Peng, 2020. "Exploring collective emotion transmission in face-to-face interactions," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-11, August.
    5. F. Schweitzer & D. Garcia, 2010. "An agent-based model of collective emotions in online communities," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 77(4), pages 533-545, October.
    6. Anna Chmiel & Julian Sienkiewicz & Mike Thelwall & Georgios Paltoglou & Kevan Buckley & Arvid Kappas & Janusz A Hołyst, 2011. "Collective Emotions Online and Their Influence on Community Life," PLOS ONE, Public Library of Science, vol. 6(7), pages 1-8, July.
    7. Chmiel, Anna & Sobkowicz, Pawel & Sienkiewicz, Julian & Paltoglou, Georgios & Buckley, Kevan & Thelwall, Mike & Hołyst, Janusz A., 2011. "Negative emotions boost user activity at BBC forum," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(16), pages 2936-2944.
    8. Zhai, Xueting & Zhong, Dixi & Luo, Qiuju, 2019. "Turn it around in crisis communication: An ABM approach," Annals of Tourism Research, Elsevier, vol. 79(C).
    9. Marie Lisa Kapeller & Georg Jäger, 2020. "Threat and Anxiety in the Climate Debate—An Agent-Based Model to Investigate Climate Scepticism and Pro-Environmental Behaviour," Sustainability, MDPI, vol. 12(5), pages 1-25, February.
    10. Ignacio Tamarit & Angel Sánchez, 2016. "Emotions and Strategic Behaviour: The Case of the Ultimatum Game," PLOS ONE, Public Library of Science, vol. 11(7), pages 1-12, July.

  13. Paolo Tasca & Pavlin Mavrodiev & Frank Schweitzer, "undated". "Quantifying the Impact of Leveraging and Diversification on Systemic Risk," Working Papers ETH-RC-13-003, ETH Zurich, Chair of Systems Design.

    Cited by:

    1. Qin, Xiao & Zhou, Chunyang, 2019. "Financial structure and determinants of systemic risk contribution," Pacific-Basin Finance Journal, Elsevier, vol. 57(C).
    2. Jung-Bin Su, 2020. "The Implementation of Asset Allocation Approaches: Theory and Evidence," Sustainability, MDPI, vol. 12(17), pages 1-28, September.
    3. Vahan Nanumyan & Antonios Garas & Frank Schweitzer, 2015. "The Network of Counterparty Risk: Analysing Correlations in OTC Derivatives," Papers 1506.04663, arXiv.org, revised Sep 2015.
    4. Tasca, Paolo & Battiston, Stefano & Deghi, Andrea, 2017. "Portfolio diversification and systemic risk in interbank networks," Journal of Economic Dynamics and Control, Elsevier, vol. 82(C), pages 96-124.
    5. Opeoluwa Banwo & Fabio Caccioli & Paul Harrald & Francesca Medda, 2017. "The effect of heterogeneity on financial contagion due to overlapping portfolios," Papers 1704.06791, arXiv.org.
    6. Carmelo Algeri & Antonio F. Forgione & Carlo Migliardo, 2022. "Do spatial dependence and market power matter in the diversification of cooperative banks?," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 51(3), November.
    7. Rick Bookstaber & Mark Paddrik & Brian Tivnan, 2014. "An Agent-based Model for Financial Vulnerability," Working Papers 14-05, Office of Financial Research, US Department of the Treasury, revised Sep 2014.
    8. Opeoluwa Banwo & Paul Harrald & Francesca Medda, 2019. "Understanding the consequences of diversification on financial stability," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 14(2), pages 273-292, June.
    9. Yajing Huang & Taoxiong Liu, 2023. "Diversification and Systemic Risk of Networks Holding Common Assets," Computational Economics, Springer;Society for Computational Economics, vol. 61(1), pages 341-388, January.
    10. Bakoush, Mohamed & Gerding, Enrico & Mishra, Tapas & Wolfe, Simon, 2022. "An integrated macroprudential stress test of bank liquidity and solvency," Journal of Financial Stability, Elsevier, vol. 60(C).
    11. Manthoulis, Georgios & Doumpos, Michalis & Zopounidis, Constantin & Galariotis, Emilios, 2020. "An ordinal classification framework for bank failure prediction: Methodology and empirical evidence for US banks," European Journal of Operational Research, Elsevier, vol. 282(2), pages 786-801.
    12. Douglas da Rosa München & Herbert Kimura, 2020. "Regulatory Banking Leverage: what do you know?," Working Papers Series 540, Central Bank of Brazil, Research Department.
    13. Vahan Nanumyan & Antonios Garas & Frank Schweitzer, 2015. "The Network of Counterparty Risk: Analysing Correlations in OTC Derivatives," PLOS ONE, Public Library of Science, vol. 10(9), pages 1-23, September.

  14. Claudio J. Tessone & Angel Sanchez & Frank Schweitzer, "undated". "Diversity-induced resonance in the response to social norms," Working Papers ETH-RC-12-017, ETH Zurich, Chair of Systems Design.

    Cited by:

    1. Frank Schweitzer & Pavlin Mavrodiev & Claudio J. Tessone, 2013. "How Can Social Herding Enhance Cooperation?," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 16(04n05), pages 1-22.
    2. Frank Schweitzer & Luca Verginer & Giacomo Vaccario, 2020. "Should The Government Reward Cooperation? Insights From An Agent-Based Model Of Wealth Redistribution," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 23(07), pages 1-19, November.

  15. Jan Lorenz & Fabian Paetzel & Frank Schweitzer, "undated". "Redistribution spurs growth by using a portfolio effect on risky human capital," Working Papers ETH-RC-12-018, ETH Zurich, Chair of Systems Design.

    Cited by:

    1. Frank Schweitzer & Luca Verginer & Giacomo Vaccario, 2020. "Should The Government Reward Cooperation? Insights From An Agent-Based Model Of Wealth Redistribution," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 23(07), pages 1-19, November.
    2. Du, Jinming, 2019. "Redistribution promotes cooperation in spatial public goods games under aspiration dynamics," Applied Mathematics and Computation, Elsevier, vol. 363(C), pages 1-1.
    3. Liebmann, Thomas & Kassberger, Stefan & Hellmich, Martin, 2017. "Sharing and growth in general random multiplicative environments," European Journal of Operational Research, Elsevier, vol. 258(1), pages 193-206.

  16. Claudio J. Tessone & Markus M. Geipel & F. Schweitzer, "undated". "Sustainable growth in complex networks," Working Papers CCSS-10-008, ETH Zurich, Chair of Systems Design.

    Cited by:

    1. Claudio J. Tessone & Antonios Garas & Beniamino Guerra & Frank Schweitzer, "undated". "How big is too big? Critical Shocks for Systemic Failure Cascades," Working Papers ETH-RC-12-015, ETH Zurich, Chair of Systems Design.

  17. Claudio J. Tessone & Antonios Garas & Beniamino Guerra & Frank Schweitzer, "undated". "How big is too big? Critical Shocks for Systemic Failure Cascades," Working Papers ETH-RC-12-015, ETH Zurich, Chair of Systems Design.

    Cited by:

    1. Schweitzer, Frank, 2021. "Social percolation revisited: From 2d lattices to adaptive networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 570(C).
    2. Lasse Loepfe & Antonio Cabrales & Angel Sánchez, 2013. "Towards a Proper Assignment of Systemic Risk: The Combined Roles of Network Topology and Shock Characteristics," PLOS ONE, Public Library of Science, vol. 8(10), pages 1-1, October.
    3. Ellinas, Christos & Allan, Neil & Johansson, Anders, 2016. "Project systemic risk: Application examples of a network model," International Journal of Production Economics, Elsevier, vol. 182(C), pages 50-62.
    4. Rebekka Burkholz & Matt V. Leduc & Antonios Garas & Frank Schweitzer, 2015. "Systemic risk in multiplex networks with asymmetric coupling and threshold feedback," Papers 1506.06664, arXiv.org.
    5. Wang, Jianwei & Sun, Enhui & Xu, Bo & Li, Peng & Ni, Chengzhang, 2016. "Abnormal cascading failure spreading on complex networks," Chaos, Solitons & Fractals, Elsevier, vol. 91(C), pages 695-701.
    6. Wang, Jianwei & Cai, Lin & Xu, Bo & Li, Peng & Sun, Enhui & Zhu, Zhiguo, 2016. "Out of control: Fluctuation of cascading dynamics in networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 462(C), pages 1231-1243.
    7. Rebekka Burkholz & Hans J. Herrmann & Frank Schweitzer, 2018. "Explicit size distributions of failure cascades redefine systemic risk on finite networks," Papers 1802.03286, arXiv.org.

Articles

  1. Emre Sarigöl & David Garcia & Ingo Scholtes & Frank Schweitzer, 2017. "Quantifying the effect of editor–author relations on manuscript handling times," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(1), pages 609-631, October.

    Cited by:

    1. Bravo, Giangiacomo & Farjam, Mike & Grimaldo Moreno, Francisco & Birukou, Aliaksandr & Squazzoni, Flaminio, 2018. "Hidden connections: Network effects on editorial decisions in four computer science journals," Journal of Informetrics, Elsevier, vol. 12(1), pages 101-112.
    2. Lokman Tutuncu & Recep Yucedogru & Idris Sarisoy, 2022. "Academic favoritism at work: insider bias in Turkish national journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(5), pages 2547-2576, May.
    3. Petersen, Alexander M., 2019. "Megajournal mismanagement: Manuscript decision bias and anomalous editor activity at PLOS ONE," Journal of Informetrics, Elsevier, vol. 13(4).
    4. Lokman Tutuncu, 2023. "All-pervading insider bias alters review time in Turkish university journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(6), pages 3743-3791, June.
    5. Federico Bianchi & Francisco Grimaldo & Giangiacomo Bravo & Flaminio Squazzoni, 2018. "The peer review game: an agent-based model of scientists facing resource constraints and institutional pressures," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(3), pages 1401-1420, September.
    6. ederico Bianchi & Flaminio Squazzoni, 2022. "Can transparency undermine peer review? A simulation model of scientist behavior under open peer review [Reviewing Peer Review]," Science and Public Policy, Oxford University Press, vol. 49(5), pages 791-800.
    7. Lucy Santos Green & Melissa P. Johnston, 2022. "A contextualization of editorial misconduct in the library and information science academic information ecosystem," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(7), pages 913-928, July.
    8. Mason, Shannon & Merga, Margaret K. & González Canché, Manuel S. & Mat Roni, Saiyidi, 2021. "The internationality of published higher education scholarship: How do the ‘top’ journals compare?," Journal of Informetrics, Elsevier, vol. 15(2).
    9. Vaccario, Giacomo & Medo, Matúš & Wider, Nicolas & Mariani, Manuel Sebastian, 2017. "Quantifying and suppressing ranking bias in a large citation network," Journal of Informetrics, Elsevier, vol. 11(3), pages 766-782.

  2. Mario V. Tomasello & Mauro Napoletano & Antonios Garas & Frank Schweitzer, 2017. "The rise and fall of R&D networks," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 26(4), pages 617-646.
    See citations under working paper version above.
  3. Mario V. Tomasello & Claudio J. Tessone & Frank Schweitzer, 2016. "A Model Of Dynamic Rewiring And Knowledge Exchange In R&D Networks," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 19(01n02), pages 1-23, February.

    Cited by:

    1. Giacomo Vaccario & Mario V. Tomasello & Claudio J. Tessone & Frank Schweitzer, 2018. "Quantifying knowledge exchange in R&D networks: a data-driven model," Journal of Evolutionary Economics, Springer, vol. 28(3), pages 461-493, August.
    2. Ioannidis, Evangelos & Varsakelis, Nikos & Antoniou, Ioannis, 2018. "Experts in Knowledge Networks: Central Positioning and Intelligent Selections," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 509(C), pages 890-905.

  4. Frank Schweitzer & Vahan Nanumyan & Claudio J. Tessone & Xi Xia, 2014. "How Do Oss Projects Change In Number And Size? A Large-Scale Analysis To Test A Model Of Project Growth," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 17(07n08), pages 1-24.

    Cited by:

    1. Zhong, Li-Xin & Xu, Wen-Juan & He, Yun-Xin & Zhong, Chen-Yang & Chen, Rong-Da & Qiu, Tian & Shi, Yong-Dong & Ren, Fei, 2017. "A generalized public goods game with coupling of individual ability and project benefit," Chaos, Solitons & Fractals, Elsevier, vol. 101(C), pages 73-80.

  5. Tasca, Paolo & Mavrodiev, Pavlin & Schweitzer, Frank, 2014. "Quantifying the impact of leveraging and diversification on systemic risk," Journal of Financial Stability, Elsevier, vol. 15(C), pages 43-52.
    See citations under working paper version above.
  6. Nicolas Perony & René Pfitzner & Ingo Scholtes & Claudio J. Tessone & Frank Schweitzer, 2013. "Enhancing Consensus Under Opinion Bias By Means Of Hierarchical Decision Making," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 16(06), pages 1-15.

    Cited by:

    1. F. Jacobs & S. Galam, 2019. "Two-Opinions-Dynamics Generated By Inflexibles And Non-Contrarian And Contrarian Floaters," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 22(04), pages 1-30, June.

  7. Frank Schweitzer & Pavlin Mavrodiev & Claudio J. Tessone, 2013. "How Can Social Herding Enhance Cooperation?," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 16(04n05), pages 1-22.

    Cited by:

    1. Zhong, Li-Xin & Xu, Wen-Juan & He, Yun-Xin & Zhong, Chen-Yang & Chen, Rong-Da & Qiu, Tian & Shi, Yong-Dong & Ren, Fei, 2017. "A generalized public goods game with coupling of individual ability and project benefit," Chaos, Solitons & Fractals, Elsevier, vol. 101(C), pages 73-80.
    2. Ausloos, Marcel, 2021. "Hagiotoponyms in France: Saint popularity, like a herding phase transition," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 566(C).

  8. Frank Schweitzer & Laxmidar Behera, 2012. "Optimal Migration Promotes The Outbreak Of Cooperation In Heterogeneous Populations," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 15(supp0), pages 1-27.

    Cited by:

    1. Zhong, Li-Xin & Xu, Wen-Juan & He, Yun-Xin & Zhong, Chen-Yang & Chen, Rong-Da & Qiu, Tian & Shi, Yong-Dong & Ren, Fei, 2017. "A generalized public goods game with coupling of individual ability and project benefit," Chaos, Solitons & Fractals, Elsevier, vol. 101(C), pages 73-80.
    2. Frank Schweitzer & Luca Verginer & Giacomo Vaccario, 2020. "Should The Government Reward Cooperation? Insights From An Agent-Based Model Of Wealth Redistribution," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 23(07), pages 1-19, November.
    3. Zhong, Li-Xin & Xu, Wen-Juan & Chen, Rong-Da & Zhong, Chen-Yang & Qiu, Tian & Shi, Yong-Dong & Wang, Li-Liang, 2016. "A generalized voter model with time-decaying memory on a multilayer network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 458(C), pages 95-105.
    4. Zhong, Li-Xin & Xu, Wen-Juan & Chen, Rong-Da & Qiu, Tian & Shi, Yong-Dong & Zhong, Chen-Yang, 2015. "Coupled effects of local movement and global interaction on contagion," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 436(C), pages 482-491.
    5. Li-Xin Zhong & Wen-Juan Xu & Yun-Xin He & Chen-Yang Zhong & Rong-Da Chen & Tian Qiu & Yong-Dong Shi & Fei Ren, 2017. "A generalized public goods game with coupling of individual ability and project benefit," Papers 1702.07423, arXiv.org, revised May 2017.

  9. König, Michael D. & Battiston, Stefano & Napoletano, Mauro & Schweitzer, Frank, 2012. "The efficiency and stability of R&D networks," Games and Economic Behavior, Elsevier, vol. 75(2), pages 694-713.

    Cited by:

    1. Dawid, Herbert & Hellmann, Tim, 2014. "The evolution of R&D networks," Journal of Economic Behavior & Organization, Elsevier, vol. 105(C), pages 158-172.
    2. Stanislao Gualdi & Antoine Mandel, 2015. "On the emergence of scale-free production networks," Documents de travail du Centre d'Economie de la Sorbonne 15060, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    3. Michael D. Koenig & Xiaodong Liu & Yves Zenou, 2014. "R&D Networks: Theory, Empirics and Policy Implications," Discussion Papers 13-027, Stanford Institute for Economic Policy Research.
    4. Billand, Pascal & Bravard, Christophe & Durieu, Jacques & Sarangi, Sudipta, 2018. "Firm Heterogeneity and the Pattern of R&D Collaborations," MPRA Paper 89247, University Library of Munich, Germany.
    5. Dawid, Herbert & Hellmann, Tim, 2020. "R&D investments under endogenous cluster formation," Journal of Economic Behavior & Organization, Elsevier, vol. 174(C), pages 253-283.
    6. Belhaj, Mohamed & Bervoets, Sebastian & Deroïan, Frédéric, 2016. "Efficient networks in games with local complementarities," Theoretical Economics, Econometric Society, vol. 11(1), January.
    7. MAULEON Ana, & SEMPERE-MONERRIS Jose J., & VANNETELBOSCH Vincent,, 2018. "R&D network formation with myopic and farsighted firms," LIDAM Discussion Papers CORE 2018026, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    8. Giacomo Vaccario & Mario V. Tomasello & Claudio J. Tessone & Frank Schweitzer, 2018. "Quantifying knowledge exchange in R&D networks: a data-driven model," Journal of Evolutionary Economics, Springer, vol. 28(3), pages 461-493, August.
    9. Gilles GRANDJEAN & Daniela TELLONE & Wouter VERGOTE, 2017. "Endogenous network formation in a Tullock context," LIDAM Reprints CORE 2825, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    10. Sudipta Sarangi & Pascal Billand & Christophe Bravard & Jacques Durieu, 2013. "Efficient networks for a class of games with global spillovers," Departmental Working Papers 2013-06, Department of Economics, Louisiana State University.
    11. Dawid, Herbert & Hellmann, Tim, 2017. "R&D Investments under Endogenous Cluster Formation," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168233, Verein für Socialpolitik / German Economic Association.
    12. Mario V. Tomasello & Claudio J. Tessone & Frank Schweitzer, 2016. "A Model Of Dynamic Rewiring And Knowledge Exchange In R&D Networks," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 19(01n02), pages 1-23, February.
    13. Johannes VAN DER POL, 2016. "Social interactions between innovating firms: an analytical review of the literature," Cahiers du GREThA (2007-2019) 2016-23, Groupe de Recherche en Economie Théorique et Appliquée (GREThA).
    14. Tur, Elena M. & Azagra-Caro, Joaquín M., 2018. "The coevolution of endogenous knowledge networks and knowledge creation," Journal of Economic Behavior & Organization, Elsevier, vol. 145(C), pages 424-434.
    15. Mauro V. Tomasello & Mauro Napoletano & Antonios Garas & Frank Schweitzer, 2013. "The Rise and Fall of R&D Networks," LEM Papers Series 2013/18, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    16. König, Michael D. & Rogers, Tim, 2023. "Endogenous technology cycles in dynamic R&D networks," European Economic Review, Elsevier, vol. 158(C).
    17. Mohamed Belhaj & Sebastian Bervoets & Frédéric Deroïan, 2013. "Network Design under Local Complementarities," AMSE Working Papers 1309, Aix-Marseille School of Economics, France, revised 12 Feb 2013.
    18. Stefania Vitali & Stefano Battiston & Mauro Gallegati, "undated". "Financial fragility and distress propagation in a network of regions," Working Papers ETH-RC-12-016, ETH Zurich, Chair of Systems Design.
    19. Mohsen Mosleh & Peter Ludlow & Babak Heydari, 2016. "Distributed Resource Management in Systems of Systems: An Architecture Perspective," Systems Engineering, John Wiley & Sons, vol. 19(4), pages 362-374, July.
    20. Ozili, Peterson K, 2017. "Earnings Management in Interconnected Networks: A Perspective," MPRA Paper 92647, University Library of Munich, Germany.
    21. Michael Koenig, 2012. "The Formation of Networks with Local Spillovers and Limited Observability," Discussion Papers 11-004, Stanford Institute for Economic Policy Research.
    22. Emmanuel Petrakis & Nikolas Tsakas, 2018. "The effect of entry on R&D networks," RAND Journal of Economics, RAND Corporation, vol. 49(3), pages 706-750, September.
    23. Norma Olaizola & Federico Valenciano, 2020. "Dominance of weighted nested split graph networks in connections models," International Journal of Game Theory, Springer;Game Theory Society, vol. 49(1), pages 75-96, March.
    24. Stuart McDonald & Mohamad Alghamdi & Bernard Pailthorpe, 2012. "The Emergence of a Small World in a Network of Research Joint Ventures," Discussion Papers Series 469, School of Economics, University of Queensland, Australia.
    25. Tao Zhou & Rui Ding & Yiming Du & Yilin Zhang & Shihui Cheng & Ting Zhang, 2022. "Study on the Coupling Coordination and Spatial Correlation Effect of Green Finance and High-Quality Economic Development—Evidence from China," Sustainability, MDPI, vol. 14(6), pages 1-22, March.
    26. Zhang, Yanlu & Yang, Naiding, 2018. "Vulnerability analysis of interdependent R&D networks under risk cascading propagation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 505(C), pages 1056-1068.

  10. König, Michael D. & Battiston, S. & Napoletano, M. & Schweitzer, F., 2011. "Recombinant knowledge and the evolution of innovation networks," Journal of Economic Behavior & Organization, Elsevier, vol. 79(3), pages 145-164, August.

    Cited by:

    1. Dawid, Herbert & Hellmann, Tim, 2014. "The evolution of R&D networks," Journal of Economic Behavior & Organization, Elsevier, vol. 105(C), pages 158-172.
    2. Mauro Caminati, 2021. "Knowledge distance and R&D collaboration in Cournot oligopoly," Metroeconomica, Wiley Blackwell, vol. 72(1), pages 57-81, February.
    3. Joko Susanto & Didit Welly Udjianto, 2019. "Human Capital Spillovers and Human Development Index in Yogyakarta Special Region and Central Java," International Journal of Innovation and Economic Development, Inovatus Services Ltd., vol. 5(2), pages 57-64, June.
    4. MAULEON Ana, & SEMPERE-MONERRIS Jose J., & VANNETELBOSCH Vincent,, 2018. "R&D network formation with myopic and farsighted firms," LIDAM Discussion Papers CORE 2018026, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    5. Zhang, JingJing & Yan, Yan & Guan, JianCheng, 2019. "Recombinant distance, network governance and recombinant innovation," Technological Forecasting and Social Change, Elsevier, vol. 143(C), pages 260-272.
    6. Ivan Savin & Abiodun Egbetokun, 2013. "Emergence of Innovation Networks from R&D Cooperation with Endogenous Absorptive Capacity," Jena Economics Research Papers 2013-022, Friedrich-Schiller-University Jena.
    7. Tur, Elena M. & Azagra-Caro, Joaquín M., 2018. "The coevolution of endogenous knowledge networks and knowledge creation," Journal of Economic Behavior & Organization, Elsevier, vol. 145(C), pages 424-434.
    8. Mauro V. Tomasello & Mauro Napoletano & Antonios Garas & Frank Schweitzer, 2013. "The Rise and Fall of R&D Networks," LEM Papers Series 2013/18, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    9. Stefania Vitali & Stefano Battiston & Mauro Gallegati, "undated". "Financial fragility and distress propagation in a network of regions," Working Papers ETH-RC-12-016, ETH Zurich, Chair of Systems Design.
    10. Gabriele Tedeschi & Stefania Vitali & Mauro Gallegati, 2014. "The dynamic of innovation networks: a switching model on technological change," Journal of Evolutionary Economics, Springer, vol. 24(4), pages 817-834, September.
    11. Krishna Dasaratha, 2019. "Innovation and Strategic Network Formation," Papers 1911.06872, arXiv.org, revised Mar 2022.
    12. Emmanuel Petrakis & Nikolas Tsakas, 2018. "The effect of entry on R&D networks," RAND Journal of Economics, RAND Corporation, vol. 49(3), pages 706-750, September.
    13. Peeters, T.J.G., 2013. "External knowledge search and use in new product development," Other publications TiSEM 300ebb34-b090-4210-b95e-f, Tilburg University, School of Economics and Management.
    14. Andersson, David E. & Galaso, Pablo & Saiz, Patricio, 2017. "Patent Networks, Collaboration Patterns, and National Innovation Systems. Sweden and Spain during the Second Industrial Revolution," Working Papers in Economic History 2017/02, Universidad Autónoma de Madrid (Spain), Department of Economic Analysis (Economic Theory and Economic History).
    15. Jingjing Wang & Chi Leung & Yue Kwok, 2015. "Stochastic control model for R&D race in a mixed duopoly with spillovers and knowledge stocks," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 38(2), pages 177-195, October.
    16. Tsouri, Maria & Hansen, Teis & Hanson, Jens & Steen, Markus, 2022. "Knowledge recombination for emerging technological innovations: The case of green shipping," Technovation, Elsevier, vol. 114(C).
    17. König, Michael D. & Battiston, Stefano & Napoletano, Mauro & Schweitzer, Frank, 2012. "The efficiency and stability of R&D networks," Games and Economic Behavior, Elsevier, vol. 75(2), pages 694-713.
    18. Mauro Caminati, 2012. "Self sustaining R&D networks," Department of Economics University of Siena 653, Department of Economics, University of Siena.
    19. Johannes van Der Pol & Jean-Paul Rameshkoumar & David Virapin & Bernard Zozime, 2014. "A preminary analysis of knowledge flows: The case of structural composite materials in aeronautics," Working Papers hal-01284991, HAL.

  11. M. Birbaumer & F. Schweitzer, 2011. "Agent-based modeling of intracellular transport," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 82(3), pages 245-255, August.

    Cited by:

    1. Elaine B Schenk & Frederic A Meunier & Dietmar B Oelz, 2022. "Spatial redistribution of neurosecretory vesicles upon stimulation accelerates their directed transport to the plasma membrane," PLOS ONE, Public Library of Science, vol. 17(3), pages 1-17, March.

  12. V. Garcia & M. Birbaumer & F. Schweitzer, 2011. "Testing an agent-based model of bacterial cell motility: How nutrient concentration affects speed distribution," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 82(3), pages 235-244, August.

    Cited by:

    1. Nicolas Perony & Claudio J Tessone & Barbara König & Frank Schweitzer, 2012. "How Random Is Social Behaviour? Disentangling Social Complexity through the Study of a Wild House Mouse Population," PLOS Computational Biology, Public Library of Science, vol. 8(11), pages 1-11, November.

  13. F. Schweitzer & D. Garcia, 2010. "An agent-based model of collective emotions in online communities," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 77(4), pages 533-545, October.
    See citations under working paper version above.
  14. Patrick Groeber & Frank Schweitzer & Kerstin Press, 2009. "How Groups Can Foster Consensus: The Case of Local Cultures," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 12(2), pages 1-4.

    Cited by:

    1. Andreas Flache, 2018. "About Renegades And Outgroup Haters: Modeling The Link Between Social Influence And Intergroup Attitudes," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 21(06n07), pages 1-32, September.
    2. Giacomo Vaccario & Mario V. Tomasello & Claudio J. Tessone & Frank Schweitzer, 2018. "Quantifying knowledge exchange in R&D networks: a data-driven model," Journal of Evolutionary Economics, Springer, vol. 28(3), pages 461-493, August.
    3. Schweitzer, Frank, 2021. "Social percolation revisited: From 2d lattices to adaptive networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 570(C).
    4. Mario V. Tomasello & Claudio J. Tessone & Frank Schweitzer, 2016. "A Model Of Dynamic Rewiring And Knowledge Exchange In R&D Networks," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 19(01n02), pages 1-23, February.
    5. Shane T. Mueller & Yin-Yin Sarah Tan, 2018. "Cognitive perspectives on opinion dynamics: the role of knowledge in consensus formation, opinion divergence, and group polarization," Journal of Computational Social Science, Springer, vol. 1(1), pages 15-48, January.
    6. Andrea Apolloni & Floriana Gargiulo, 2011. "Diffusion Processes Through Social Groups' Dynamics," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 14(02), pages 151-167.
    7. Schweitzer, Frank, 2022. "Group relations, resilience and the I Ching," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 603(C).
    8. Zhong, Li-Xin & Xu, Wen-Juan & Chen, Rong-Da & Zhong, Chen-Yang & Qiu, Tian & Shi, Yong-Dong & Wang, Li-Liang, 2016. "A generalized voter model with time-decaying memory on a multilayer network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 458(C), pages 95-105.

  15. F. Schweitzer & L. Behera, 2009. "Nonlinear voter models: the transition from invasion to coexistence," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 67(3), pages 301-318, February.

    Cited by:

    1. Sven Banisch & Tanya Araujo & Jorge Louçã, 2009. "Opinion Dynamics and Communication Networks," Working Papers Department of Economics 2009/16, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
    2. Sven Banischa & Ricardo Lima & Tanya Araújo, 2012. "Agent based models and opinion dynamics as markov chains," Working Papers Department of Economics 2012/10, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
    3. Jan Lorenz & Stefano Battiston & Frank Schweitzer, "undated". "Systemic Risk in a Unifying Framework for Cascading Processes on Networks," Working Papers CCSS-09-011, ETH Zurich, Chair of Systems Design.
    4. Giacomo Vaccario & Mario V. Tomasello & Claudio J. Tessone & Frank Schweitzer, 2018. "Quantifying knowledge exchange in R&D networks: a data-driven model," Journal of Evolutionary Economics, Springer, vol. 28(3), pages 461-493, August.
    5. Mario V. Tomasello & Claudio J. Tessone & Frank Schweitzer, 2016. "A Model Of Dynamic Rewiring And Knowledge Exchange In R&D Networks," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 19(01n02), pages 1-23, February.
    6. Patrick Groeber & Frank Schweitzer & Kerstin Press, 2009. "How Groups Can Foster Consensus: The Case of Local Cultures," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 12(2), pages 1-4.
    7. Hang-Hyun Jo & Jeoung-Yoo Kim, 2012. "Competitive Targeted Marketing," ISER Discussion Paper 0834, Institute of Social and Economic Research, Osaka University.
    8. Schweitzer, Frank, 2022. "Group relations, resilience and the I Ching," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 603(C).

  16. Frank Schweitzer & Giorgio Fagiolo & Didier Sornette & Fernando Vega-Redondo & Douglas R. White, 2009. "Economic Networks: What Do We Know And What Do We Need To Know?," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 12(04n05), pages 407-422.
    See citations under working paper version above.
  17. J. Lorenz & S. Battiston & F. Schweitzer, 2009. "Systemic risk in a unifying framework for cascading processes on networks," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 71(4), pages 441-460, October.
    See citations under working paper version above.
  18. Hans-Ulrich Stark & Claudio J. Tessone & Frank Schweitzer, 2008. "Slower Is Faster: Fostering Consensus Formation By Heterogeneous Inertia," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 11(04), pages 551-563.

    Cited by:

    1. Lipiecki, Arkadiusz & Sznajd-Weron, Katarzyna, 2022. "Polarization in the three-state q-voter model with anticonformity and bounded confidence," Chaos, Solitons & Fractals, Elsevier, vol. 165(P1).
    2. Yu, Fengyuan & Wang, Jianwei & Chen, Wei & He, Jialu, 2023. "Increased cooperation potential and risk under suppressed strategy differentiation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 621(C).
    3. Kononovicius, Aleksejus, 2021. "Supportive interactions in the noisy voter model," Chaos, Solitons & Fractals, Elsevier, vol. 143(C).
    4. Rytis Kazakevicius & Aleksejus Kononovicius & Bronislovas Kaulakys & Vygintas Gontis, 2021. "Understanding the nature of the long-range memory phenomenon in socioeconomic systems," Papers 2108.02506, arXiv.org, revised Aug 2021.

  19. J. Emeterio Navarro-Barrientos & Frank E. Walter & Frank Schweitzer, 2008. "Risk-Seeking Versus Risk-Avoiding Investments In Noisy Periodic Environments," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 19(06), pages 971-994.
    See citations under working paper version above.
  20. Navarro-Barrientos, Jesús Emeterio & Cantero-Álvarez, Rubén & Matias Rodrigues, João F. & Schweitzer, Frank, 2008. "Investments in random environments," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(8), pages 2035-2046.
    See citations under working paper version above.
  21. Thomas Fent & Patrick Groeber & Frank Schweitzer, 2007. "Coexistence Of Social Norms Based On In- And Out-Group Interactions," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 10(02), pages 271-286.

    Cited by:

    1. Andreas Flache, 2018. "About Renegades And Outgroup Haters: Modeling The Link Between Social Influence And Intergroup Attitudes," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 21(06n07), pages 1-32, September.
    2. Belinda Diaz & Thomas Fent & Alexia Prskawetz & Laura Bernardi, 2011. "Transition to Parenthood: The Role of Social Interaction and Endogenous Networks," Demography, Springer;Population Association of America (PAA), vol. 48(2), pages 559-579, May.
    3. Dirk Helbing & Anders Johansson, 2010. "Cooperation, Norms, and Revolutions: A Unified Game-Theoretical Approach," PLOS ONE, Public Library of Science, vol. 5(10), pages 1-15, October.
    4. Patrick Groeber & Frank Schweitzer & Kerstin Press, 2009. "How Groups Can Foster Consensus: The Case of Local Cultures," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 12(2), pages 1-4.
    5. Áron Székely & Luis G. Nardin & Giulia Andrighetto, 2018. "Countering Protection Rackets Using Legal and Social Approaches: An Agent-Based Test," Complexity, Hindawi, vol. 2018, pages 1-16, December.
    6. Zhong, Li-Xin & Xu, Wen-Juan & Chen, Rong-Da & Qiu, Tian & Shi, Yong-Dong & Zhong, Chen-Yang, 2015. "Coupled effects of local movement and global interaction on contagion," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 436(C), pages 482-491.

  22. Laxmidhar Behera & Frank Schweitzer, 2003. "On Spatial Consensus Formation: Is The Sznajd Model Different From A Voter Model?," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 14(10), pages 1331-1354.

    Cited by:

    1. Galam, Serge, 2010. "Public debates driven by incomplete scientific data: The cases of evolution theory, global warming and H1N1 pandemic influenza," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(17), pages 3619-3631.
    2. Sznajd-Weron, Katarzyna & Sznajd, Józef & Weron, Tomasz, 2021. "A review on the Sznajd model — 20 years after," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 565(C).
    3. Galam, Serge, 2011. "Collective beliefs versus individual inflexibility: The unavoidable biases of a public debate," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(17), pages 3036-3054.
    4. Guzmán-Vargas, L. & Hernández-Pérez, R., 2006. "Small-world topology and memory effects on decision time in opinion dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 372(2), pages 326-332.
    5. Qian, Shen & Liu, Yijun & Galam, Serge, 2015. "Activeness as a key to counter democratic balance," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 432(C), pages 187-196.
    6. Pawel Sobkowicz, 2009. "Modelling Opinion Formation with Physics Tools: Call for Closer Link with Reality," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 12(1), pages 1-11.

  23. Schweitzer, Frank & Zimmermann, Jörg & Mühlenbein, Heinz, 2002. "Coordination of decisions in a spatial agent model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 303(1), pages 189-216.

    Cited by:

    1. Mavrodiev, Pavlin & Schweitzer, Frank, 2021. "The ambigous role of social influence on the wisdom of crowds: An analytic approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 567(C).
    2. Jean-Philippe Bouchaud, 2012. "Crises and collective socio-economic phenomena: simple models and challenges," Papers 1209.0453, arXiv.org, revised Dec 2012.
    3. Frank Schweitzer & Robert Mach, 2008. "The Epidemics of Donations: Logistic Growth and Power-Laws," PLOS ONE, Public Library of Science, vol. 3(1), pages 1-4, January.
    4. Kirley, Michael, 2006. "Evolutionary minority games with small-world interactions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 365(2), pages 521-528.

  24. Frank Schweitzer & Laxmidhar Behera & Heinz Mühlenbein, 2002. "Evolution Of Cooperation In A Spatial Prisoner'S Dilemma," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 5(02n03), pages 269-299.

    Cited by:

    1. Du, Faqi & Fu, Feng, 2013. "Quantifying the impact of noise on macroscopic organization of cooperation in spatial games," Chaos, Solitons & Fractals, Elsevier, vol. 56(C), pages 35-44.
    2. Salatino, Saverio & Di Gregorio, Salvatore, 2015. "A cellular model of prisoners dilemma for “prodding gratuity”," Applied Mathematics and Computation, Elsevier, vol. 255(C), pages 214-227.
    3. Matus Halas, 2018. "Balancing Against Threats In Interactions Determined By Distance And Overall Gains," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 21(05), pages 1-22, August.
    4. Jason Barr & Troy Tassier, 2010. "Endogenous Neighborhood Selection and the Attainment of Cooperation in a Spatial Prisoner’s Dilemma Game," Computational Economics, Springer;Society for Computational Economics, vol. 35(3), pages 211-234, March.
    5. Hokky Situngkir & Deni Khanafiah, 2004. "Metabolism of Social System: N-Person Iterated Prisoner’s Dilemma Analysis In Random Boolean Network," Game Theory and Information 0405002, University Library of Munich, Germany.
    6. Yang, Xiqing & Zhang, Feng & Wang, Wanxiong, 2019. "Predation promotes cooperation in Prisoner’s dilemma games," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 514(C), pages 20-24.

  25. F. Schweitzer & B. Tilch & W. Ebeling, 2000. "Uphill motion of active brownian particles in piecewise linear potentials," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 14(1), pages 157-168, March.

    Cited by:

    1. Guan, Lin & Fang, Yuwen & Li, Kongzhai & Zeng, Chunhua & Yang, Fengzao, 2018. "Transport properties of active Brownian particles in a modified energy-depot model driven by correlated noises," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 505(C), pages 716-728.

  26. Hołyst, Janusz A. & Kacperski, Krzysztof & Schweitzer, Frank, 2000. "Phase transitions in social impact models of opinion formation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 285(1), pages 199-210.

    Cited by:

    1. Yao-feng Zhang & Hong-ye Duan & Zhi-lin Geng, 2017. "Evolutionary Mechanism of Frangibility in Social Consensus System Based on Negative Emotions Spread," Complexity, Hindawi, vol. 2017, pages 1-8, June.
    2. Abdulkadir Abdulrashid Rafindadi & Zarinah Yusof, 2014. "Are the Periods of Currency Collapse an Impediment to Entrepreneurship and Entrepreneurial Haven? Evidence from Regional Comparison," International Journal of Economics and Financial Issues, Econjournals, vol. 4(4), pages 886-908.
    3. Grabowski, Andrzej, 2009. "Opinion formation in a social network: The role of human activity," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(6), pages 961-966.
    4. Chakrabarti, Anindya S., 2016. "Cross-correlation patterns in social opinion formation with sequential data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 462(C), pages 442-454.
    5. Alberto Vancheri & Paolo Giordano & Denise Andrey & Sergio Albeverio, 2008. "Urban Growth Processes Joining Cellular Automata and Multiagent Systems. Part 1: Theory and Models," Environment and Planning B, , vol. 35(4), pages 723-739, August.
    6. Stephanie Anne Nicole Bedard & Carri Reisdorf Tolmie, 2018. "Millennials' green consumption behaviour: Exploring the role of social media," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 25(6), pages 1388-1396, November.
    7. Katz, Yuri A. & Biem, Alain, 2021. "Time-resolved topological data analysis of market instabilities," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 571(C).
    8. Seungkyu Shin & Juyong Park, 2018. "On-Chart Success Dynamics Of Popular Songs," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 21(03n04), pages 1-18, May.
    9. Hutzler, S. & Sommer, C. & Richmond, P., 2016. "On the relationship between income, fertility rates and the state of democracy in society," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 452(C), pages 9-18.
    10. Alireza Mansouri & Fattaneh Taghiyareh, 2020. "Phase Transition in the Social Impact Model of Opinion Formation in Scale-Free Networks: The Social Power Effect," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 23(2), pages 1-3.
    11. Papanikolaou, Nikos & Lambiotte, Renaud & Vaccario, Giacomo, 2023. "Fragmentation from group interactions: A higher-order adaptive voter model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 630(C).
    12. Galam, Serge, 2021. "Will Trump win again in the 2020 election? An answer from a sociophysics model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 570(C).
    13. Marisa Faggini & Bruna Bruno & Anna Parziale, 2022. "Toward Reverse Engineering to Economic Analysis: An Overview of Tools and Methodology," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 13(2), pages 1414-1432, June.
    14. Jędrzejewski, Arkadiusz & Sznajd-Weron, Katarzyna, 2018. "Impact of memory on opinion dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 505(C), pages 306-315.
    15. Schweitzer, Frank & Zimmermann, Jörg & Mühlenbein, Heinz, 2002. "Coordination of decisions in a spatial agent model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 303(1), pages 189-216.
    16. Paluch, Robert & Gajewski, Łukasz G. & Suchecki, Krzysztof & Hołyst, Janusz A., 2021. "Impact of interactions between layers on source localization in multilayer networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 582(C).
    17. Hang-Hyun Jo & Jeoung-Yoo Kim, 2012. "Competitive Targeted Marketing," ISER Discussion Paper 0834, Institute of Social and Economic Research, Osaka University.
    18. Weimer-Jehle, Wolfgang, 2008. "Cross-impact balances," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(14), pages 3689-3700.
    19. Katarzyna Ostasiewicz & Michal H. Tyc & Piotr Goliczewski & Piotr Magnuszewski & Andrzej Radosz & Jan Sendzimir, 2006. "Integrating economic and psychological insights in binary choice models with social interactions," Papers physics/0609170, arXiv.org.
    20. Grabowski, A. & Kosiński, R.A., 2006. "Ising-based model of opinion formation in a complex network of interpersonal interactions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 361(2), pages 651-664.
    21. Schweitzer, Frank, 2022. "Group relations, resilience and the I Ching," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 603(C).
    22. Yaofeng Zhang & Renbin Xiao, 2015. "Modeling and Simulation of Polarization in Internet Group Opinions Based on Cellular Automata," Discrete Dynamics in Nature and Society, Hindawi, vol. 2015, pages 1-15, August.
    23. Barunik, J. & Vosvrda, M., 2009. "Can a stochastic cusp catastrophe model explain stock market crashes?," Journal of Economic Dynamics and Control, Elsevier, vol. 33(10), pages 1824-1836, October.

  27. U. Erdmann & W. Ebeling & L. Schimansky-Geier & F. Schweitzer, 2000. "Brownian particles far from equilibrium," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 15(1), pages 105-113, May.

    Cited by:

    1. Andrea Cavagna & Antonio Culla & Xiao Feng & Irene Giardina & Tomas S. Grigera & Willow Kion-Crosby & Stefania Melillo & Giulia Pisegna & Lorena Postiglione & Pablo Villegas, 2022. "Marginal speed confinement resolves the conflict between correlation and control in collective behaviour," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    2. Maxime Hubert & Stéphane Perrard & Nicolas Vandewalle & Matthieu Labousse, 2022. "Overload wave-memory induces amnesia of a self-propelled particle," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
    3. Wang, Tonghuan & Guan, Lin & Zeng, Chunhua, 2019. "Transition induce by positive and negative time delay feedback in active Brownian particles," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 534(C).
    4. Liang Li & Simon F Nørrelykke & Edward C Cox, 2008. "Persistent Cell Motion in the Absence of External Signals: A Search Strategy for Eukaryotic Cells," PLOS ONE, Public Library of Science, vol. 3(5), pages 1-11, May.
    5. Demaerel, Thibaut & De Roeck, Wojciech & Maes, Christian, 2020. "Producing suprathermal tails in the stationary velocity distribution," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 552(C).
    6. Guan, Lin & Fang, Yuwen & Li, Kongzhai & Zeng, Chunhua & Yang, Fengzao, 2018. "Transport properties of active Brownian particles in a modified energy-depot model driven by correlated noises," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 505(C), pages 716-728.
    7. Chetverikov, A.P. & Sergeev, K.S. & del Rio, Ezequiel, 2019. "Noise influence on dissipative solitons in a chain of active particles," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 513(C), pages 147-155.

  28. Schweitzer, Frank & Helbing, Dirk, 2000. "Guest editorial," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 287(3), pages 1-1.

    Cited by:

    1. Werner Ebeling & Andrea Scharnhorst, 2014. "Modellierungskonzepte der Synergetik und der Theorie der Selbstorganisation," Papers 1412.2399, arXiv.org.

  29. Tilch, Benno & Schweitzer, Frank & Ebeling, Werner, 1999. "Directed motion of Brownian particles with internal energy depot," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 273(3), pages 294-314.

    Cited by:

    1. Iina Hellsten & Renaud Lambiotte & Andrea Scharnhorst & Marcel Ausloos, 2007. "Self-citations, co-authorships and keywords: A new approach to scientists’ field mobility?," Scientometrics, Springer;Akadémiai Kiadó, vol. 72(3), pages 469-486, September.
    2. Guan, Lin & Fang, Yuwen & Li, Kongzhai & Zeng, Chunhua & Yang, Fengzao, 2018. "Transport properties of active Brownian particles in a modified energy-depot model driven by correlated noises," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 505(C), pages 716-728.

  30. Frank Schweitzer, 1998. "Modelling Migration and Economic Agglomeration with Active Brownian Particles," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 1(01), pages 11-37.

    Cited by:

    1. Thomas Brenner & Niels Weigelt, 2001. "The Evolution Of Industrial Clusters — Simulating Spatial Dynamics," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 4(01), pages 127-147.
    2. García-Díaz, César & Moreno-Monroy, Ana I., 2012. "Social influence, agent heterogeneity and the emergence of the urban informal sector," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(4), pages 1563-1574.
    3. Brenner Thomas, 2008. "Cluster dynamics and policy implications," ZFW – Advances in Economic Geography, De Gruyter, vol. 52(1), pages 146-162, October.
    4. Anna Klabunde & Frans Willekens, 2016. "Decision-Making in Agent-Based Models of Migration: State of the Art and Challenges," European Journal of Population, Springer;European Association for Population Studies, vol. 32(1), pages 73-97, February.
    5. Marcello Marini & Ndaona Chokani & Reza S. Abhari, 2019. "Agent-Based Model Analysis of Impact of Immigration on Switzerland’s Social Security," Journal of International Migration and Integration, Springer, vol. 20(3), pages 787-808, August.
    6. Schweitzer, Frank & Zimmermann, Jörg & Mühlenbein, Heinz, 2002. "Coordination of decisions in a spatial agent model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 303(1), pages 189-216.
    7. Nowak, Andrzej & Kuś, Marek & Urbaniak, Jakub & Zarycki, Tomasz, 2000. "Simulating the coordination of individual economic decisions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 287(3), pages 613-630.

  31. Schweitzer, Frank & Schimansky-Geier, Lutz, 1994. "Clustering of “active” walkers in a two-component system," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 206(3), pages 359-379.

    Cited by:

    1. David Levinson & Bhanu Yerra, 2006. "Self Organization of Surface Transportation Networks," Working Papers 200603, University of Minnesota: Nexus Research Group.
    2. Tilch, Benno & Schweitzer, Frank & Ebeling, Werner, 1999. "Directed motion of Brownian particles with internal energy depot," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 273(3), pages 294-314.
    3. Schweitzer, Frank & Zimmermann, Jörg & Mühlenbein, Heinz, 2002. "Coordination of decisions in a spatial agent model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 303(1), pages 189-216.

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