Improving Community Detection in Time-Evolving Networks Through Clustering Fusion

Improving Community Detection in Time-Evolving Networks Through Clustering Fusion

Traditional community detection algorithms are easily interfered by noises and outliers. Therefore, we propose to leverage a clustering fusion method to improve the results of community detection. Usually, there are two issues in clustering ensembles: how to generate efficient diversified cluster me...

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Bibliographic Details
Main Authors: Jin Ran, Kou Chunhai, Liu Ruijuan
Format: Article
Language:English
Published: Sciendo 2015-06-01
Series:Cybernetics and Information Technologies
Subjects:
time-evolving network
community detection
clustering fusion
network snapshot
maximum likelihood method
expectation maximization algorithm.
Online Access:https://doi.org/10.1515/cait-2015-0029

Internet

https://doi.org/10.1515/cait-2015-0029

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