Using Visualizations to Explore Network Dynamics

Publications

Share / Export Citation / Email / Print / Text size:

Journal of Social Structure

International Network for Social Network Analysis

Subject: Social Sciences

GET ALERTS

eISSN: 1529-1227

DESCRIPTION

28
Reader(s)
48
Visit(s)
0
Comment(s)
0
Share(s)

SEARCH WITHIN CONTENT

FIND ARTICLE

Volume / Issue / page

Archive
Volume 22 (2021)
Volume 21 (2020)
Volume 20 (2019)
Volume 19 (2018)
Volume 18 (2017)
Volume 17 (2016)
Volume 16 (2015)
Volume 15 (2014)
Volume 14 (2013)
Volume 13 (2012)
Volume 12 (2011)
Volume 11 (2010)
Volume 10 (2009)
Related articles

VOLUME 14 , ISSUE 1 (December 2013) > List of articles

Using Visualizations to Explore Network Dynamics

Kar-Hai Chu / Heather Wipfli / Thomas W. Valente

Keywords : Social network analysis, dynamic visualization, longitudinal analysis

Citation Information : Journal of Social Structure. Volume 14, Issue 1, Pages 1-24, DOI: https://doi.org/10.21307/joss-2019-026

License : (CC BY-NC 4.0)

Published Online: 14-August-2019

ARTICLE

ABSTRACT

Network analysis has become a popular tool to examine data from online social networks to politics to ecological systems. As more computing power has become available, new technology-driven methods and tools are being developed that can support larger and richer network data, including dynamic network analysis. This timely merger of abundant data and cutting edge techniques affords researchers the ability to better understand networks over time, accurately show how they evolve, find patterns of growth, or study models such as the diffusion of innovation. We combine traditional methods in social network analysis with new innovative visualizations and methods in dynamic network studies to explore an online tobacco-control community called GLOBALink, using almost twenty years of longitudinal data. We describe the methods used for the study, and perform an exploratory network study that links empirical results to real-world events.

Content not available PDF Share

FIGURES & TABLES

REFERENCES

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.

 

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.

 

Barnett, G. A. (2001). "A longitudinal analysis of the international telecommunication network, 1978-1996." American Behavior Scientist 44(10): 1638-1655.

 

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.

 

Bender-deMoll, S. and D. A. McFarland (2006). "The Art and Science of Dynamic Network Visualization." Journal of Social Structure 7(2): 1-38.

 

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.

 

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.

 

Borgatti, S. and M. Everett (2000). "Models of Core/Periphery Structures." Social Networks 21(4): 375-395.

 

Boyd, D. (2006). "Friends, Friendsters, and MySpace Top 8: Writing Community Into Being on Social Network Sites." First Monday 11(12).

 

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.

 

Brandes, U. and C. Pich (2012). "Explorative Visualization of Citation Patterns in Social Network Research." Journal of Social Structure 12(8).

 

Carley, K. (2003). Dynamic Network Analysis. Dynamic Social Network Modeling and Analysis: Workshop Summary and Papers. K. Carley, R. Breiger and P. Pattison. Washington, DC, The Nat. Acad. Press: 133-145.

 

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.

 

Christakis, N. A. and J. H. Fowler (2010). "Social Network Measures for Early Detection of Contagious Outbreaks." PloS one 5(9): e12948.

 

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.

 

Correa, C. D. and K.-L. Ma (2011). Visualizing Social Networks. Social Network Data Analytics, Springer: 307-326.

 

de Nooy, W., A. Mrvar and V. Batagelj (2005). Exploratory Social Network Analysis with Pajek (Structural Analysis in the Social Sciences), {Cambridge University Press}.

 

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.

 

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.

 

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.

 

Freeman, L. C. (2000). "Visualizing Social Networks." Journal of Social Structure 1(1).

 

Gloor, P. A. and Y. Zhao (2004). TeCFlow - A temporal communication flow visualizer for social network analysis. ACM CSCW Workshop on Social Networks, Chicago.

 

Gray, V. (1973). "Innovation in the states: A diffusion study." The American Political Science Review 67(4): 1174-1185.

 

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.

 

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.

 

Kossinets, G. and D. Watts (2006). "Empirical Analysis of an Evolving Social Network." Science 311(5757): 88-90.

 

Krebs, V. E. (2002). "Mapping Networks of Terrorist Cells." Connections 24(3): 43-52.

 

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.

 

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.

 

McCulloh, I. and K. Carley (2011). "Detecting Change in Longitudinal Social Networks." Journal of Social Structure 12(3).

 

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.

 

Moody, J., D. McFarland and S. Bender-deMoll (2005). "Dynamic Network Visualization." American Journal of Sociology 110(4): 1206-1241.

 

Moody, J. and D. R. White (2003). "Structural cohesion and embeddedness: A hierarchical concept of social groups." American Sociological Review: 103-127.

 

Moreno, J. L. (1932). Application of the Group Method to Classification. New York, National committee on prisons and prison labor.

 

Newman, M. E. (2006). "Modularity and community structure in networks." Proceedings of the National Academy of Sciences 103(23): 8577-8582.

 

Newman, M. E. and M. Girvan (2004). "Finding and evaluating community structure in networks." Physical review E 69(2).

 

O'Madadhain, J., D. Fisher, S. White and Y.-B. Boey (2003). The JUNG (Java Universal Network/Graph) Framework, University of California, Irvine, California.

 

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.

 

Rogers, E. (2003). Diffusion of Innovations, 5th Edition. New York, Free Press.

 

Stefano, A., D. Alonso and M. Pascual (2008). "A general model for food web structure." Science 320(5876): 658-661.

 

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.

 

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.

 

Valente, T. W. (1995). Network models of the diffusion of innovations. Cresskill, NJ, Hampton Press.

 

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.

 

Valente, T. W. (2010). Social Networks and Health. Oxford, Oxford University Press.

 

Walker, J. L. (1969). "The diffusion of innovations among the American states." The American Political Science Review 63(3): 880-899.

 

Waller, M. and S. Lipponen (1997). Smokefree Europe: A Forum for Networks, Finnish Centre for Health Promotion.

 

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.

EXTRA FILES

COMMENTS