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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.<\/jats:p>","DOI":"10.21307\/joss-2019-026","type":"journal-article","created":{"date-parts":[[2020,5,12]],"date-time":"2020-05-12T08:10:18Z","timestamp":1589271018000},"page":"1-24","source":"Crossref","is-referenced-by-count":10,"title":["Using Visualizations to Explore Network Dynamics"],"prefix":"10.2478","volume":"14","author":[{"given":"Kar-Hai","family":"Chu","sequence":"first","affiliation":[{"name":"Institute for Prevention Research , Department of Preventive Medicine , Keck School of Medicine , University of Southern California , Southern California United States"}]},{"given":"Heather","family":"Wipfli","sequence":"additional","affiliation":[{"name":"Institute for Prevention Research , Department of Preventive Medicine , Keck School of Medicine , University of Southern California , Southern California United States"}]},{"given":"Thomas W.","family":"Valente","sequence":"additional","affiliation":[{"name":"Institute for Prevention Research , Department of Preventive Medicine , Keck School of Medicine , University of Southern California , Southern California United States"}]}],"member":"374","published-online":{"date-parts":[[2019,8,14]]},"reference":[{"key":"2025100313200804789_j_joss-2019-026_ref_001","doi-asserted-by":"crossref","unstructured":"Backstrom, L., D. 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