A complex network community detection algorithm based on label propagation and fuzzy C-means

Zheng-Hong Deng, Hong-Hai Qiao, Qun Song and Li Gao

Physica A: Statistical Mechanics and its Applications, 2019, vol. 519, issue C, 217-226

Abstract: Community detection algorithms have important significance in the research and practical application of complex network theory. This paper proposes a community detection method by improved label propagation and fuzzy C-means. Due to low accuracy and instability detection results, we modify original label propagation framework. Primarily, initial labels of vertexes are assigned by neighbor evaluation method. Secondarily, the labels of vertexes with large diversity in each community are revised by fuzzy C-means membership vectors. Tertiarily, parameters are updated until communities status is stabilized ultimately. The results showed that this method can achieve better accuracy on synthetic and real network.

Keywords: Community detection; Label propagation; Fuzzy C-means objective function; Modularity; Normalized Mutual Information (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (6)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:519:y:2019:i:c:p:217-226

DOI: 10.1016/j.physa.2018.12.024

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