Using Visualizations to Explore Network Dynamics


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Journal of Social Structure

International Network for Social Network Analysis

Subject: Social Sciences


eISSN: 1529-1227





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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:

License : (CC BY-NC 4.0)

Published Online: 14-August-2019



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.

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