Learning Latent Block Structure in Weighted Networks

2 Apr 2014Christopher AicherAbigail Z. JacobsAaron Clauset

Community detection is an important task in network analysis, in which we aim to learn a network partition that groups together vertices with similar community-level connectivity patterns. By finding such groups of vertices with similar structural roles, we extract a compact representation of the network's large-scale structure, which can facilitate its scientific interpretation and the prediction of unknown or future interactions... (read more)

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