Cliques are important building blocks for community structure in networks representing structural association between entities. Bicliques play a similar role for bipartite networks representing functional attributes (aka. labels) of entities. We recently proposed a combination of these structures known as labeled-cliques and designed an algorithm to identify them. In this work we show how to use these structures to identify structural-functional communities in networks. We also designed a few metrics to analyse those communities.
展开▼
