IDEAS home Printed from https://ideas.repec.org/r/plo/pone00/0008694.html
   My bibliography  Save this item

Mapping Change in Large Networks

Citations

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


Cited by:

  1. Luca Marotta & Salvatore Miccichè & Yoshi Fujiwara & Hiroshi Iyetomi & Hideaki Aoyama & Mauro Gallegati & Rosario N Mantegna, 2015. "Bank-Firm Credit Network in Japan: An Analysis of a Bipartite Network," PLOS ONE, Public Library of Science, vol. 10(5), pages 1-18, May.
  2. Ali Najmi & Taha H. Rashidi & Alireza Abbasi & S. Travis Waller, 2017. "Reviewing the transport domain: an evolutionary bibliometrics and network analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(2), pages 843-865, February.
  3. Ying Liu & Naizhuo Zhao & Jennifer K Vanos & Guofeng Cao, 2018. "Visualizing changes in nationally averaged PM2.5 concentrations by an alluvial diagram," Environment and Planning A, , vol. 50(2), pages 259-261, March.
  4. An, Pengli & Li, Huajiao & Zhou, Jinsheng & Chen, Fan, 2017. "The evolution analysis of listed companies co-holding non-listed financial companies based on two-mode heterogeneous networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 484(C), pages 558-568.
  5. Günter Wallner & Simone Kriglstein & Edward Chung & Syeed Anta Kashfi, 2018. "Visualisation of trip chaining behaviour and mode choice using household travel survey data," Public Transport, Springer, vol. 10(3), pages 427-453, December.
  6. Carissimo, Annamaria & Cutillo, Luisa & Feis, Italia De, 2018. "Validation of community robustness," Computational Statistics & Data Analysis, Elsevier, vol. 120(C), pages 1-24.
  7. Raghu Raman & Nava Subramaniam & Vinith Kumar Nair & Avinash Shivdas & Krishnashree Achuthan & Prema Nedungadi, 2022. "Women Entrepreneurship and Sustainable Development: Bibliometric Analysis and Emerging Research Trends," Sustainability, MDPI, vol. 14(15), pages 1-31, July.
  8. Nicolo Musmeci & Tomaso Aste & Tiziana Di Matteo, 2014. "Relation between Financial Market Structure and the Real Economy: Comparison between Clustering Methods," Papers 1406.0496, arXiv.org, revised Jan 2015.
  9. Morten L. Bech & Carl T. Bergstrom & Rod Garratt & Martin Rosvall, 2011. "Mapping change in the federal funds market," Staff Reports 507, Federal Reserve Bank of New York.
  10. Luis Lorenzo & Javier Arroyo, 2022. "Analysis of the cryptocurrency market using different prototype-based clustering techniques," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-46, December.
  11. Benatti, Alexandre & de Arruda, Henrique Ferraz & Silva, Filipi Nascimento & Comin, César Henrique & da Fontoura Costa, Luciano, 2023. "On the stability of citation networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 610(C).
  12. Lovro Šubelj & Nees Jan van Eck & Ludo Waltman, 2016. "Clustering Scientific Publications Based on Citation Relations: A Systematic Comparison of Different Methods," PLOS ONE, Public Library of Science, vol. 11(4), pages 1-23, April.
  13. Benjamin Allen & Christine Sample & Yulia Dementieva & Ruben C Medeiros & Christopher Paoletti & Martin A Nowak, 2015. "The Molecular Clock of Neutral Evolution Can Be Accelerated or Slowed by Asymmetric Spatial Structure," PLOS Computational Biology, Public Library of Science, vol. 11(2), pages 1-32, February.
  14. Shiji Chen & Clément Arsenault & Yves Gingras & Vincent Larivière, 2015. "Exploring the interdisciplinary evolution of a discipline: the case of Biochemistry and Molecular Biology," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1307-1323, February.
  15. Huang, Qiangjuan & Zhao, Chengli & Zhang, Xue & Yi, Dongyun, 2017. "Locating the source of spreading in temporal networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 468(C), pages 434-444.
  16. Leydesdorff, Loet & Rafols, Ismael, 2012. "Interactive overlays: A new method for generating global journal maps from Web-of-Science data," Journal of Informetrics, Elsevier, vol. 6(2), pages 318-332.
  17. Marcel Dunaiski & Gillian J. Greene & Bernd Fischer, 2017. "Exploratory search of academic publication and citation data using interactive tag cloud visualizations," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(3), pages 1539-1571, March.
  18. P. Dorta-González & M. I. Dorta-González, 2013. "Comparing journals from different fields of science and social science through a JCR subject categories normalized impact factor," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(2), pages 645-672, May.
  19. Mingers, John & Leydesdorff, Loet, 2015. "A review of theory and practice in scientometrics," European Journal of Operational Research, Elsevier, vol. 246(1), pages 1-19.
  20. Bastian Schäfermeier & Johannes Hirth & Tom Hanika, 2023. "Research topic flows in co-authorship networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(9), pages 5051-5078, September.
  21. Ying Lu & Walter Timo de Vries, 2021. "A Bibliometric and Visual Analysis of Rural Development Research," Sustainability, MDPI, vol. 13(11), pages 1-21, May.
  22. Jiming Hu & Yin Zhang, 2017. "Discovering the interdisciplinary nature of Big Data research through social network analysis and visualization," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(1), pages 91-109, July.
  23. Ke, Qing, 2018. "Comparing scientific and technological impact of biomedical research," Journal of Informetrics, Elsevier, vol. 12(3), pages 706-717.
  24. Martin Rosvall & Carl T Bergstrom, 2011. "Multilevel Compression of Random Walks on Networks Reveals Hierarchical Organization in Large Integrated Systems," PLOS ONE, Public Library of Science, vol. 6(4), pages 1-10, April.
  25. Jimi Adams & Ryan Light, 2014. "Mapping Interdisciplinary Fields: Efficiencies, Gaps and Redundancies in HIV/AIDS Research," PLOS ONE, Public Library of Science, vol. 9(12), pages 1-13, December.
  26. Tatsuro Kawamoto & Ryutaro Hashimoto, 2021. "Identifying macroscopic features in foreign visitor travel pathways," The Japanese Economic Review, Springer, vol. 72(1), pages 129-144, January.
  27. Weiwei Pan & Lirong Jian & Tao Liu, 2019. "Grey system theory trends from 1991 to 2018: a bibliometric analysis and visualization," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(3), pages 1407-1434, December.
  28. Yang Li & Yongcheng Qi, 2020. "Asymptotic distribution of modularity in networks," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 83(4), pages 467-484, May.
  29. Wu, Ke & Liu, Xueming, 2021. "Community detection in directed acyclic graphs of adversary interactions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 584(C).
  30. Jyldyz Djumalieva1 & Cath Sleeman, 2018. "An Open and Data-driven Taxonomy of Skills Extracted from Online Job Adverts," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2018-13, Economic Statistics Centre of Excellence (ESCoE).
  31. Vincent Labatut & Jean-Michel Balasque, 2012. "Detection and Interpretation of Communities in Complex Networks: Methods and Practical Application," Post-Print hal-00633653, HAL.
  32. Gerhard A. Wuehrer & Angela Elisabeth Smejkal, 2013. "The knowledge domain of the academy of international business studies (AIB) conferences: a longitudinal scientometric perspective for the years 2006–2011," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(2), pages 541-561, May.
  33. Xiaoguang Wang & Qikai Cheng & Wei Lu, 2014. "Analyzing evolution of research topics with NEViewer: a new method based on dynamic co-word networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 1253-1271, November.
  34. Theresa Velden & Shiyan Yan & Carl Lagoze, 2017. "Mapping the cognitive structure of astrophysics by infomap clustering of the citation network and topic affinity analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 1033-1051, May.
  35. Guillard, Charlotte, 2020. "Mapping industrial patterns and structural change in exports," MERIT Working Papers 2020-005, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
  36. Wenyuan Liu & Andrea Nanetti & Siew Ann Cheong, 2017. "Knowledge evolution in physics research: An analysis of bibliographic coupling networks," PLOS ONE, Public Library of Science, vol. 12(9), pages 1-19, September.
  37. Joseph Crawford & Tijana Milenković, 2018. "ClueNet: Clustering a temporal network based on topological similarity rather than denseness," PLOS ONE, Public Library of Science, vol. 13(5), pages 1-25, May.
  38. Nicola Melluso & Andrea Bonaccorsi & Filippo Chiarello & Gualtiero Fantoni, 2021. "Rapid detection of fast innovation under the pressure of COVID-19," Papers 2102.00197, arXiv.org.
  39. Bech, Morten L. & Bergstrom, Carl T. & Rosvall, Martin & Garratt, Rodney J., 2015. "Mapping change in the overnight money market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 424(C), pages 44-51.
  40. Natkamon Tovanich & Nicolas Soulié & Nicolas Heulot & Petra Isenberg, 2022. "MiningVis: visual analytics of the Bitcoin mining economy," Post-Print hal-03348145, HAL.
  41. Benatti, Alexandre & Ferraz de Arrruda, Henrique & Nascimento Silva, Filipi & da Fontoura Costa, Luciano, 2021. "Enriching and analyzing small citation networks: A case study on transistor’s history," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 573(C).
  42. Verma, Sanjeev & Yadav, Neha, 2021. "Past, Present, and Future of Electronic Word of Mouth (EWOM)," Journal of Interactive Marketing, Elsevier, vol. 53(C), pages 111-128.
  43. Cobo, M.J. & López-Herrera, A.G. & Herrera-Viedma, E. & Herrera, F., 2011. "An approach for detecting, quantifying, and visualizing the evolution of a research field: A practical application to the Fuzzy Sets Theory field," Journal of Informetrics, Elsevier, vol. 5(1), pages 146-166.
  44. Loet Leydesdorff & Caroline S. Wagner & Lutz Bornmann, 2018. "Discontinuities in citation relations among journals: self-organized criticality as a model of scientific revolutions and change," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 623-644, July.
  45. Sun, Xiaoling & Ding, Kun & Lin, Yuan, 2016. "Mapping the evolution of scientific fields based on cross-field authors," Journal of Informetrics, Elsevier, vol. 10(3), pages 750-761.
  46. de Nooy, Wouter & Leydesdorff, Loet, 2015. "The dynamics of triads in aggregated journal–journal citation relations: Specialty developments at the above-journal level," Journal of Informetrics, Elsevier, vol. 9(3), pages 542-554.
  47. Jinyang Dong & Jiamou Liu & Tiezhong Liu, 2021. "The impact of top scientists on the community development of basic research directed by government funding: evidence from program 973 in China," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(10), pages 8561-8579, October.
  48. Khare, Apoorv & Jain, Rajesh, 2022. "Mapping the conceptual and intellectual structure of the consumer vulnerability field: A bibliometric analysis," Journal of Business Research, Elsevier, vol. 150(C), pages 567-584.
  49. Melissa Haller & David L. Rigby, 2020. "The geographic evolution of optics technologies in the United States, 1976–2010," Papers in Regional Science, Wiley Blackwell, vol. 99(6), pages 1539-1559, December.
  50. Caroline Ceribeli & Henrique Ferraz de Arruda & Luciano da Fontoura Costa, 2021. "How coupled are capillary electrophoresis and mass spectrometry?," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(5), pages 3841-3851, May.
  51. Fan, Yangliu & Lehmann, Sune & Blok, Anders, 2022. "Extracting the interdisciplinary specialty structures in social media data-based research: A clustering-based network approach," Journal of Informetrics, Elsevier, vol. 16(3).
  52. Zhiwen Hu & Yiping Cui & Jian Zhang & Jacqueline Eviston-Putsch, 2020. "Shalosh B. Ekhad: a computer credit for mathematicians," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(1), pages 71-97, January.
  53. Lida Huang & Panpan Shi & Haichao Zhu & Tao Chen, 2022. "Early detection of emergency events from social media: a new text clustering approach," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 111(1), pages 851-875, March.
  54. Chae, Bongsug (Kevin), 2019. "A General framework for studying the evolution of the digital innovation ecosystem: The case of big data," International Journal of Information Management, Elsevier, vol. 45(C), pages 83-94.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.