Overlapping Clustered Graphs: Co-authorship Networks Visualization

Abstract

The analysis of scientific articles produced by different groups of authors helps to identify and characterize research groups and collaborations among them. Although this is a quite studied area, some issues, such as quick understanding of groups and visualization of large social networks still pose some interesting challenges. In order to contribute to this study, we present a solution based in Overlapper, a tool for the visualization of overlapping groups that makes use of an enhanced variation of force-directed graphs. For a real case study, the tool has been applied to articles in the DBLP database.