Masters Dissertation from the Department of Computer Science
Application of visual analytics for dynamic network analysis is a growing field of research nowadays. ManyNets is a network visualization tool that can visualize multiple network overviews at once and I participated in its development. I used this tool to analyze the dynamics of the online social network portal Nation of Neighbors (online communities for neighborhood crime watch) and made refinement to ManyNets in order to facilitate the analysis. In this report I demonstrate this gradual improvement process. A case study with Nation of Neighbors data shows the ability of ManyNets to glean insights from the users’ activity log regarding the evolution and leadership in the communities. The study also suggests improvement of the tool and its interface, and future directions with this research.