Mining Persistent and Discriminative Communities in Graph Ensembles

Abstract

Detecting all communities in a single graph is a prevalent task in graph data analytics. However, many scientific applications naturally create data as an ensemble of graphs. For example, graph ensembles can be created from multiple: social networks at distinct points in time, biological networks created from independent experiments, and global climate… (More)
DOI: 10.1145/3085504.3085532

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