Evolutionary Markov Dynamics for Network Community Detection

Community structure division is a crucial problem in the field of network data analysis. Algorithms based on Markov chains are easy to use and provide promising solutions for community detection. In a Markov chain-based algorithm (i.e., MCL), a flow distribution matrix and a transition matrix are us...

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Bibliographic Details
Published in:	IEEE transactions on knowledge and data engineering Vol. 34; no. 3; pp. 1206 - 1220
Main Authors:	Wang, Zhen, Wang, Chunyu, Li, Xianghua, Gao, Chao, Li, Xuelong, Zhu, Junyou
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.03.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Amoeba Apexes Clustering algorithms community detection Complex networks Computational efficiency Computing costs Data analysis Detection algorithms dynamic networks Flow distribution genetic algorithm Genetic algorithms Heuristic algorithms Inhomogeneity Iterative methods Markov chains Markov clustering algorithm Markov processes Mathematical model Measurement physarum Positive feedback Transition probabilities
ISSN:	1041-4347, 1558-2191
Online Access:	Get full text
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