Local community detection based on small cliques
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Publication:1657050
DOI10.3390/a10030090zbMath1433.68297OpenAlexW2742266097MaRDI QIDQ1657050
Dorothea Wagner, Michael Hamann, Eike Röhrs
Publication date: 13 August 2018
Published in: Algorithms (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.3390/a10030090
Small world graphs, complex networks (graph-theoretic aspects) (05C82) Graph theory (including graph drawing) in computer science (68R10) Graph algorithms (graph-theoretic aspects) (05C85) Vertex subsets with special properties (dominating sets, independent sets, cliques, etc.) (05C69)
Uses Software
Cites Work
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- Arboricity, \(h\)-index, and dynamic algorithms
- Graph clustering
- Local community detection in complex networks based on maximum cliques extension
- Listing All Maximal Cliques in Sparse Graphs in Near-Optimal Time
- LOCAL COMMUNITY IDENTIFICATION IN SOCIAL NETWORKS
- The h-Index of a Graph and Its Application to Dynamic Subgraph Statistics
- Listing All Maximal Cliques in Large Sparse Real-World Graphs
- Collective dynamics of ‘small-world’ networks
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