FragViz: visualization of fragmented networks

Entrepreneurship in Fragmented Networks:

Recent studies of the formation of collaborative networks typically identify patterns of cohesive social structures and their benefits for economic performance. Using systematic quantitative evidence on 3,700 corporate foundings and about 8,900 members of the corporate elite in late tsarist Russia (c.1869-1900), our study departs from, and thereby extends this previous research in two important...

Visualization of Large Networks

Visualization of Conflict Networks

Visualization is a powerful tool to derive insights from massive, noisy, and possibly inconsistent datasets. We propose a method for the visualization of conflict networks that show a set of actors together with hostile or conflictive relations on the systemic level. Our method highlights the most involved actors, reveals the opposing groups, provides a graphic overview of the conflict structur...

Visualization of communities in networks.

Visualizing the social networks in this poster was a multiple-step process. For each network, we identified communities of the largest connected component using a modified version of the algorithm in [3]. Namely, we heuristically maximized the quality function known as modularity, which measures the weight of within-community edges versus between-community edges for a Haverford Facebook Network...

Visualization for Streaming Networks

Sampling from Large Scale Social Networks is a hot topic in recent research. In telecommunications services, there are many networks with millions of nodes and billions of edges. They are complex and difficult to analyze. Sampling, together with vizualization techniques, are required for exploratory data analysis and event detection. Until now, to visualize and analyze the massive network data ...