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Directed Community Detection

Directed community detection identifies densely interconnected groups of nodes in a directed network, accounting for the asymmetry of edges (e.g., A follows B does not imply B follows A). Adapting modularity or flow-based criteria to directed graphs reveals clusters that undirected methods systematically miss, making it essential for citation networks, follower graphs, and biological regulatory pathways.

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Directed Community Detection in Networks

Registre de mètode taxonòmic · ml-model / network-analysis

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Mètodes relacionats

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Taxonomic bucketDirected Betweenness Centralitymachine-suggested · Relational suggestion, not evidence.Taxonomic bucketDirected Social Network Analysismachine-suggested · Relational suggestion, not evidence.Taxonomic bucketModularity Analysismachine-suggested · Relational suggestion, not evidence.Taxonomic bucketSocial Network Analysismachine-suggested · Relational suggestion, not evidence.Used in the same domainStochastic Block Modelmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketWeighted Community Detectionmachine-suggested · Relational suggestion, not evidence.