Two-stage algorithm using influence coefficient for detecting the hierarchical, non-overlapping and overlapping community structure

DOI10.1016/j.physa.2014.04.023zbMath1395.05162OpenAlexW1992760149MaRDI QIDQ1782915

Jianshe Wu, Caihong Mu, Yi Liu, Yong Liu, Li-Cheng Jiao

Publication date: 20 September 2018

Published in: Physica A (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.physa.2014.04.023

zbMATH Keywords

hierarchical structurecommunity detectioncommunity structureinfluence coefficientoverlapping structure

Mathematics Subject Classification ID

Small world graphs, complex networks (graph-theoretic aspects) (05C82) Deterministic network models in operations research (90B10) Graph algorithms (graph-theoretic aspects) (05C85)

Related Items (2)

Clustering method based on the elastic energy functional of directed signed weighted graphs ⋮ Detecting and refining overlapping regions in complex networks with three-way decisions

Cites Work

• Identification of overlapping and non-overlapping community structure by fuzzy clustering in complex networks
• Comparison of methods for the detection of node group membership in bipartite networks
• Enhancing community detection using a network weighting strategy
• Community Structure in Large Networks: Natural Cluster Sizes and the Absence of Large Well-Defined Clusters
• An Efficient Heuristic Procedure for Partitioning Graphs
• Community structure in social and biological networks
• An Algorithm for Partitioning the Nodes of a Graph
• Generation of scale-free topology in complex networks by phase entrainment
• Overlapping community detection in networks

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