IDEAS home Printed from https://ideas.repec.org/r/spr/eurphb/v13y2000i3p547-560.html
   My bibliography  Save this item

On the properties of small-world network models

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Li, Chunguang, 2009. "Memorizing morph patterns in small-world neuronal network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(2), pages 240-246.
  2. Lawford, Steve & Mehmeti, Yll, 2020. "Cliques and a new measure of clustering: With application to U.S. domestic airlines," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 560(C).
  3. Robert Boyer & Denis Boyer & Gilles Laferté, 2007. "La connexion des réseaux comme facteur de changement institutionnel : l'exemple des vins de Bourgogne," PSE Working Papers halshs-00587708, HAL.
  4. Marr, Carsten & Hütt, Marc-Thorsten, 2005. "Topology regulates pattern formation capacity of binary cellular automata on graphs," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 354(C), pages 641-662.
  5. Daniel Felix Ahelegbey & Monica Billio & Roberto Casarin, 2020. "Modeling Turning Points In Global Equity Market," DEM Working Papers Series 195, University of Pavia, Department of Economics and Management.
  6. Menezes, Mozart B.C. & da Silveira, Giovani J.C. & Guimarães, Renato, 2018. "Estimating demand variability and capacity costs due to social network influence: The hidden cost of connection," International Journal of Production Economics, Elsevier, vol. 197(C), pages 317-329.
  7. Tsonis, Anastasios A. & Swanson, Kyle L. & Wang, Geli, 2008. "Estimating the clustering coefficient in scale-free networks on lattices with local spatial correlation structure," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(21), pages 5287-5294.
  8. Konstantinos Antoniadis & Kostas Zafiropoulos & Vasiliki Vrana, 2016. "A Method for Assessing the Performance of e-Government Twitter Accounts," Future Internet, MDPI, vol. 8(2), pages 1-18, April.
  9. Pollner, Péter & Palla, Gergely & Vicsek, Tamás, 2010. "Clustering of tag-induced subgraphs in complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(24), pages 5887-5894.
  10. Pemantle, Robin & Skyrms, Brian, 2004. "Time to absorption in discounted reinforcement models," Stochastic Processes and their Applications, Elsevier, vol. 109(1), pages 1-12, January.
  11. Yue Chen & Xiaojian Niu & Yan Zhang, 2019. "Exploring Contrarian Degree in the Trading Behavior of China's Stock Market," Complexity, Hindawi, vol. 2019, pages 1-12, April.
  12. Argollo de Menezes, M & Moukarzel, C.F & Penna, T.J.P, 2001. "Geometric phase-transition on systems with sparse long-range connections," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 295(1), pages 132-139.
  13. Wang, Pei & Xu, Shuang, 2017. "Spectral coarse grained controllability of complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 478(C), pages 168-176.
  14. Cristopher Moore & M. E. J. Newman, 2000. "Exact Solution of Site and Bond Percolation on Small-World Networks," Working Papers 00-01-007, Santa Fe Institute.
  15. Kooij, Robert E. & Sørensen, Nikolaj Horsevad & Bouffanais, Roland, 2021. "Tuning the clustering coefficient of generalized circulant networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 578(C).
  16. Ding Ding & Liyan Han & Libo Yin, 2017. "Systemic risk and dynamics of contagion: a duplex inter-bank network," Quantitative Finance, Taylor & Francis Journals, vol. 17(9), pages 1435-1445, September.
  17. Bombelli, Alessandro & Santos, Bruno F. & Tavasszy, Lóránt, 2020. "Analysis of the air cargo transport network using a complex network theory perspective," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 138(C).
  18. Wang, Xingyuan & Zhao, Tianfang & Qin, Xiaomeng, 2016. "Model of epidemic control based on quarantine and message delivery," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 458(C), pages 168-178.
  19. Bu, Zhan & Xia, Zhengyou & Wang, Jiandong & Zhang, Chengcui, 2013. "A last updating evolution model for online social networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(9), pages 2240-2247.
  20. Jason Cory Brunson & Steve Fassino & Antonio McInnes & Monisha Narayan & Brianna Richardson & Christopher Franck & Patrick Ion & Reinhard Laubenbacher, 2014. "Evolutionary events in a mathematical sciences research collaboration network," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(3), pages 973-998, June.
  21. Panchenko, Valentyn & Gerasymchuk, Sergiy & Pavlov, Oleg V., 2013. "Asset price dynamics with heterogeneous beliefs and local network interactions," Journal of Economic Dynamics and Control, Elsevier, vol. 37(12), pages 2623-2642.
  22. Marialisa Scatá & Barbara Attanasio & Aurelio La Corte, 2021. "Cognitive Profiling of Nodes in 6G through Multiplex Social Network and Evolutionary Collective Dynamics," Future Internet, MDPI, vol. 13(5), pages 1-17, May.
  23. Kolumbus, Yoav & Solomon, Sorin, 2021. "On the influence maximization problem and the percolation phase transition," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 573(C).
  24. Silver, Steven D. & Raseta, Marko & Bazarova, Alina, 2023. "Stochastic resonance in the recovery of signal from agent price expectations," Chaos, Solitons & Fractals, Elsevier, vol. 174(C).
  25. Reyes, Leonardo & Laroze, David, 2022. "Cellular Automata for excitable media on a Complex Network: The effect of network disorder in the collective dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 588(C).
  26. Comellas, Francesc & Miralles, Alicia, 2009. "Modeling complex networks with self-similar outerplanar unclustered graphs," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(11), pages 2227-2233.
  27. Hossein Sabzian & Mohammad Ali Shafia & Mehdi Ghazanfari & Ali Bonyadi Naeini, 2020. "Modeling the Adoption and Diffusion of Mobile Telecommunications Technologies in Iran: A Computational Approach Based on Agent-Based Modeling and Social Network Theory," Sustainability, MDPI, vol. 12(7), pages 1-36, April.
  28. Peres, Renana, 2014. "The impact of network characteristics on the diffusion of innovations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 402(C), pages 330-343.
  29. Dassisti, M. & Carnimeo, L., 2013. "A small-world methodology of analysis of interchange energy-networks: The European behaviour in the economical crisis," Energy Policy, Elsevier, vol. 63(C), pages 887-899.
  30. María Pereda & Daniele Vilone, 2017. "Social Pressure and Environmental Effects on Networks: A Path to Cooperation," Games, MDPI, vol. 8(1), pages 1-13, January.
  31. Hu, Zhongren & Wu, Bo, 2023. "The average shortest distance of three colored substitution networks," Chaos, Solitons & Fractals, Elsevier, vol. 176(C).
  32. Manajit Chakraborty & Maksym Byshkin & Fabio Crestani, 2020. "Patent citation network analysis: A perspective from descriptive statistics and ERGMs," PLOS ONE, Public Library of Science, vol. 15(12), pages 1-28, December.
  33. Manjalavil, Manju Manohar & Ramadurai, Gitakrishnan, 2020. "Topological properties of bus transit networks considering demand and service utilization weight measures," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 555(C).
  34. Holme, Petter, 2007. "Scale-free networks with a large- to hypersmall-world transition," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 377(1), pages 315-322.
  35. M. E. J. Newman & C. Moore & D. J. Watts, 1999. "Mean-Field Solution of the Small-World Network Model," Working Papers 99-09-066, Santa Fe Institute.
  36. Gian Paolo Clemente & Marco Fattore & Rosanna Grassi, 2018. "Structural comparisons of networks and model-based detection of small-worldness," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 13(1), pages 117-141, April.
  37. Guida, Michele & Maria, Funaro, 2007. "Topology of the Italian airport network: A scale-free small-world network with a fractal structure?," Chaos, Solitons & Fractals, Elsevier, vol. 31(3), pages 527-536.
  38. Prettejohn, Brenton J. & Berryman, Matthew J. & McDonnell, Mark D., 2013. "A model of the effects of authority on consensus formation in adaptive networks: Impact on network topology and robustness," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(4), pages 857-868.
  39. Elena Agliari & Adriano Barra & Andrea Galluzzi & Marco Alberto Javarone & Andrea Pizzoferrato & Daniele Tantari, 2015. "Emerging Heterogeneities in Italian Customs and Comparison with Nearby Countries," PLOS ONE, Public Library of Science, vol. 10(12), pages 1-24, December.
  40. Jie Yu & Fei You & Jian Wang & Zishan Wang, 2023. "Evolution Modes of Chili Pepper Industry Clusters under the Perspective of Social Network—An Example from Xinfu District, Xinzhou, Shanxi Province," Sustainability, MDPI, vol. 15(6), pages 1-14, March.
  41. Konstantinos Petridis & Nikolaos E. Petridis, 2022. "Diffusion of Innovations in Middle Eastern versus Western Markets: A Mathematical Computation Cellular Automata Simulation Model," Operational Research, Springer, vol. 22(2), pages 1597-1616, April.
  42. Steven Silver & Phillip Cowans, 2009. "Stocks of information in personal consumption: a network model with non-rival borrowing and content overlap," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 4(2), pages 115-134, November.
  43. Robert Boyer & Denis Boyer & Gilles Laferté, 2007. "La connexion des réseaux comme facteur de changement institutionnel : l'exemple des vins de Bourgogne," Working Papers halshs-00587708, HAL.
  44. Daniel Felix Ahelegbey & Luis Carvalho & Eric D. Kolaczyk, 2020. "A Bayesian Covariance Graph And Latent Position Model For Multivariate Financial Time Series," DEM Working Papers Series 181, University of Pavia, Department of Economics and Management.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.