Mining communities and their descriptions on attributed graphs: a survey

DOI10.1007/s10618-021-00741-zzbMath1473.68135OpenAlexW3135416636WikidataQ113302589 ScholiaQ113302589MaRDI QIDQ2036717

Stephan Günnemann, Albrecht Zimmermann, Martin Atzmueller

Publication date: 30 June 2021

Published in: Data Mining and Knowledge Discovery (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10618-021-00741-z

zbMATH Keywords

network analysiscommunity detectionpattern mininggraph clusteringattributed graph

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Small world graphs, complex networks (graph-theoretic aspects) (05C82) Learning and adaptive systems in artificial intelligence (68T05) Pattern recognition, speech recognition (68T10)

Uses Software

• GenLouvain
• LabelRankT
• NetGAN

Cites Work

• Exceptional contextual subgraph mining
• Finding density-based subspace clusters in graphs with feature vectors
• Interesting Patterns
• Community Structure in Time-Dependent, Multiscale, and Multiplex Networks
• Community structure in social and biological networks
• Detecting semantic‐based communities in node‐attributed graphs
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