Much of what is studied in network analysis derives from the observation that nodes in a graph G often tend to form “cohesive groups” or, as they are called in social networks, communities, clusters, or modules. This chapter describes statistical methods for identifying such communities using the stochastic blockmodel and an approach based upon the concept of modularity.
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