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A Multi-objective Community Detection Algorithm for Directed Network based on Random Walk
2019
IEEE Access
Uncovering community structure is an important technique for studying complex networks. While a large bulk of algorithms have been proposed for community detection in recent years, most of them were designed for undirected networks. Considering many real-world networks are by nature directed, it is necessary to develop community detection methods that can handle directed networks. In this work, we formulates a multi-objective framework for community detection in directed networks and proposes a
doi:10.1109/access.2019.2951791
fatcat:pbedq7nnf5htli2dfjuot7iipq