Abstract by Rebecca Jones
Community Detection on Bipartite Graphs
Community detection is the process of finding similar groups on a graph. While this has been an important area of research on graphs, relatively little has been done on bipartite graphs. Bipartite graphs have two sets of nodes with edges only from one set to the other. This complicted structure makes traditional community detection methods difficult. In this talk, we'll explore possible methods of community detection on bipartite graphs, as well as their relation to machine learning and classification problems.