Communities in Social Networks

Abstract

The results of two different clusterization methods applied to six social networks are presented. It is shown that elements classified together by the differential equation method, are also classified to the one community by the Newman method. It is also shown that even though for all analysed networks the cumulative node degree distribution is described by the stretched-exponential law, the distribution of the nodes among different functional types is not the same for all networks.