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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Vydáno v:	IEEE transactions on knowledge and data engineering Ročník 34; číslo 3; s. 1206 - 1220
Hlavní autoři:	Wang, Zhen, Wang, Chunyu, Li, Xianghua, Gao, Chao, Li, Xuelong, Zhu, Junyou
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York IEEE 01.03.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	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
On-line přístup:	Získat plný text
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