<abstract xmlns="http://www.w3.org/1999/xhtml"><p>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.</p></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.

Using Visualizations to Explore Network Dynamics

Journal of Social Structure

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

{"article-title":"Using Visualizations to Explore Network Dynamics"}

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...

Using Visualizations to Explore Network Dynamics

Online veröffentlicht: 14. Aug. 2019

Seitenbereich: 1 - 24

DOI: https://doi.org/10.21307/joss-2019-026

Schlüsselwörter
Social network analysis, dynamic visualization, longitudinal analysis

© 2019 Kar-Hai Chu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Using Visualizations to Explore Network Dynamics

Online veröffentlicht: 14. Aug. 2019

Seitenbereich: 1 - 24

DOI: https://doi.org/10.21307/joss-2019-026

SchlüsselwörterSocial network analysis, dynamic visualization, longitudinal analysis

© 2019 Kar-Hai Chu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Schlüsselwörter
Social network analysis, dynamic visualization, longitudinal analysis