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Using Visualizations to Explore Network Dynamics Cover

Using Visualizations to Explore Network Dynamics

Open Access
|Aug 2019

References

  1. Backstrom, L., D. Huttenlocher, J. Kleinberg and X. Lan (2006). Group Formation in Large Social Networks: Membership, Growth, and Evolution. Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, ACM.10.1145/1150402.1150412
  2. Barabasi, A. L., H. Jeong, Z. Neda, E. Ravasz, A. Schubert and T. Vicsek (2002). “Evolution of the social network of scientific collaborations.” Physica A: Statistical Mechanics and its Applications 311(3): 590-614.10.1016/S0378-4371(02)00736-7
  3. Barnett, G. A. (2001). “A longitudinal analysis of the international telecommunication network, 1978-1996.” American Behavior Scientist 44(10): 1638-1655.10.1177/0002764201044010007
  4. Bastian, M., S. Heymann and M. Jacomy (2009). Gephi: An open source software for exploring and manipulating networks. International AAAI Conference on Weblogs and Social Media.10.1609/icwsm.v3i1.13937
  5. Bender-deMoll, S. and D. A. McFarland (2006). “The Art and Science of Dynamic Network Visualization.” Journal of Social Structure 7(2): 1-38.
  6. Berger-Wolf, T. and J. Saia (2006). A framework for analysis of dynamic social networks. KDD ‘06: Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining, ACM Press.
  7. Blondel, V. D., J.-L. Guillaume, R. Lambiotte and E. Lefebvre (2008). “Fast unfolding of communities in large networks.” Journal of Statistical Mechanics: Theory and Experiment 10.
  8. Borgatti, S. and M. Everett (2000). “Models of Core/Periphery Structures.” Social Networks 21(4): 375-395.10.1016/S0378-8733(99)00019-2
  9. boyd, d. (2006). “Friends, Friendsters, and MySpace Top 8: Writing Community Into Being on Social Network Sites.” First Monday 11(12).10.5210/fm.v11i12.1418
  10. boyd, d., S. Golder and G. Lotan (2010). Tweet, Tweet, Retweet: Conversational Aspects of Retweeting on Twitter. Proceedings of the 43rd Hawaii International Conference on System Sciences, Hawaii.10.1109/HICSS.2010.412
  11. Brandes, U. and C. Pich (2012). “Explorative Visualization of Citation Patterns in Social Network Research.” Journal of Social Structure 12(8).
  12. Carley, K. (2003). Dynamic Network Analysis. Dynamic Social Network Modeling and Analysis: Workshop Summary and Papers. K.
  13. Carley, R. Breiger and P. Pattison. Washington, DC, The Nat. Acad. Press: 133-145.
  14. Carley, K., M. Dombroski, M. Tsvetovat, J. Reminga and N. Kamneve (2003). Destabilizing Dynamic Covert Networks. Proceedings of the 8 International Command and Control Research and Technology Symposium.
  15. Christakis, N. A. and J. H. Fowler (2010). “Social Network Measures for Early Detection of Contagious Outbreaks.” PloS one 5(9): e12948.
  16. Chu, K.-H. and D. Suthers (2013). Technology-Mediated Relationships in a Socio-Technical System. Proceedings of the 46th Hawaii International Conference on System Sciences (HICSS 2013), Maui, Hawaii.10.1109/HICSS.2013.511
  17. Correa, C. D. and K.-L. Ma (2011). Visualizing Social Networks. Social Network Data Analytics, Springer: 307-326.
  18. de Nooy, W., A. Mrvar and V. Batagelj (2005). Exploratory Social Network Analysis with Pajek (Structural Analysis in the Social Sciences), {Cambridge University Press}.10.1017/CBO9780511806452
  19. Ellison, N., C. Steinfield and C. Lampe (2007). “The Benefits of Facebook “Friends:” Social Capital and College Students Use of Online Social Network Sites.” Journal of Computer-Mediated Communication 12(4): 1143-1168.
  20. Falkowski, T., J. Bartelheimer and M. Spiliopoulou (2006). Mining and Visualizing the Evolution of Subgroups in Social Networks. IEEE/WIC/ACM International Conference on Web Intelligence, IEEE Computer Society.10.1109/WI.2006.118
  21. Firth, D. R., C. Lawrence and S. F. Clouse (2006). “Predicting Internetbased Online Community Size and Time to Peak Membership Using the Bass Model of New Product Growth.” Interdisciplinary Journal of Information, Knowledge, and Management 1(1): 1-12.10.28945/109
  22. Freeman, L. C. (2000). “Visualizing Social Networks.” Journal of Social Structure 1(1).
  23. Gloor, P. A. and Y. Zhao (2004). TeCFlow - A temporal communication flow visualizer for social network analysis. ACM CSCW Workshop on Social Networks, Chicago.
  24. Gray, V. (1973). “Innovation in the states: A diffusion study.” The American Political Science Review 67(4): 1174-1185.10.2307/1956539
  25. Hether, H. J., S. Murphy and T. W. Valente (in-press). “It is better to give than receive: The role of social support, trust, and participation on health-related social networking sites.” Journal of Health Communication.
  26. Kairam, S., D. J. Wang and J. Leskovec (2012). The Life and Death of Online Groups: Predicting Group Growth and Longevity. In Proceedings of the fifth ACM International Conference on Web Search and Data Mining, ACM.10.1145/2124295.2124374
  27. Kossinets, G. and D. Watts (2006). “Empirical Analysis of an Evolving Social Network.” Science 311(5757): 88-90.10.1126/science.1116869
  28. Krebs, V. E. (2002). “Mapping Networks of Terrorist Cells.” Connections 24(3): 43-52.
  29. Levina, N. and E. Vaast (2005). “The Emergence of Boundary Spanning Competence in Practice: Implications for Implementation and Use of Information Systems.” MIS Quarterly 29(2): 335-363.10.2307/25148682
  30. Liben-Nowell, D. and J. Kleinberg (2006). “The Link-Prediction Problem for Social Networks.” Journal of the American Society for Information Science and Technology 58(7): 1019-1031.10.1002/asi.20591
  31. McCulloh, I. and K. Carley (2011). “Detecting Change in Longitudinal Social Networks.” Journal of Social Structure 12(3).10.21307/joss-2019-031
  32. Mislove, A., M. Massimiliano, K. P. Gummadi, P. Drushel and B. Bhattacharjee (2007). Measurement and Analysis of Online Social Networks. In Proceedings of the 7th ACM SIGCOMM conference on Internet Measurement, ACM.10.1145/1298306.1298311
  33. Moody, J., D. McFarland and S. Bender-deMoll (2005). “Dynamic Network Visualization.” American Journal of Sociology 110(4): 1206-1241.10.1086/421509
  34. Moody, J. and D. R. White (2003). “Structural cohesion and embeddedness: A hierarchical concept of social groups.” American Sociological Review: 103-127.
  35. Moreno, J. L. (1932). Application of the Group Method to Classification. New York, National committee on prisons and prison labor.
  36. Newman, M. E. (2006). “Modularity and community structure in networks.” Proceedings of the National Academy of Sciences 103(23): 8577-8582.10.1073/pnas.0601602103
  37. Newman, M. E. and M. Girvan (2004). “Finding and evaluating community structure in networks.” Physical review E 69(2).10.1103/PhysRevE.69.026113
  38. O’Madadhain, J., D. Fisher, S. White and Y.-B. Boey (2003). The JUNG (Java Universal Network/Graph) Framework, University of California, Irvine, California.
  39. Perer, A. and B. Shneiderman (2008). Integrating statistics and visualization: case studies of gaining clarity during exploratory data analysis. Twenty-sixth annual SIGCHI conference on human factors in computing systems, ACM.10.1145/1357054.1357101
  40. Rogers, E. (2003). Diffusion of Innovations, 5th Edition. New York, Free Press.
  41. Stefano, A., D. Alonso and M. Pascual (2008). “A general model for food web structure.” Science 320(5876): 658-661.10.1126/science.1156269
  42. Suh, B., L. Hong, P. Pirolli and E. Chi (2010). Want to be Retweeted? Large Scale Analytics on Factors Impacting Retweet in Twitter Network. 2010 IEEE Second International Conference on Social Computing (SocialCom), IEEE.10.1109/SocialCom.2010.33
  43. Susarla, A., J.-H. Oh and Y. Tan (2012). “Social Networks and the Diffusion of User-Generated Content: Evidence from YouTube.” Information Systems Research 23(1): 23-41.10.1287/isre.1100.0339
  44. Valente, T. W. (1995). Network models of the diffusion of innovations. Cresskill, NJ, Hampton Press.
  45. Valente, T. W. (2005). Models and methods for studying the innovation of diffusion. Models and Methods in Social Network Analysis. P. J. Carrington, J. Scott and S. Wasserman. Cambridge, UK, Cambridge University Press: 98-116.
  46. Valente, T. W. (2010). Social Networks and Health. Oxford, Oxford University Press.10.1093/acprof:oso/9780195301014.001.0001
  47. Walker, J. L. (1969). “The diffusion of innovations among the American states.” The American Political Science Review 63(3): 880-899.10.2307/1954434
  48. Waller, M. and S. Lipponen (1997). Smokefree Europe: A Forum for Networks, Finnish Centre for Health Promotion.
  49. Wipfli, H., K. Fujimoto and T. W. Valente (2010). “Global Tobacco Control Diffusion: The Case of the Framework Convention on Tobacco Control.” American Journal of Public Health 100(7): 1260.
DOI: https://doi.org/10.21307/joss-2019-026 | Journal eISSN: 1529-1227 | Journal ISSN: 2300-0422
Language: English
Page range: 1 - 24
Published on: Aug 14, 2019
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2019 Kar-Hai Chu, Heather Wipfli, Thomas W. Valente, published by International Network for Social Network Analysis (INSNA)
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.