A hybrid multi-objective algorithm based on slime mould algorithm and sine cosine algorithm for overlapping community detection in social networks

In recent years, extensive studies have been carried out in community detection for social network analysis because it plays a crucial role in social network systems in today's world. However, most social networks in the real world have complex overlapping social structures, one of the NP-hard...

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Bibliographic Details
Published in:	Cluster computing Vol. 27; no. 10; pp. 13897 - 13917
Main Authors:	Heydariyan, Ahmad, Gharehchopogh, Farhad Soleimanian, Dishabi, Mohammad Reza Ebrahimi
Format:	Journal Article
Language:	English
Published:	New York Springer US 01.12.2024 Springer Nature B.V
Subjects:	Algorithms Clustering Computer Communication Networks Computer Science Datasets Efficiency Fuzzy sets Heuristic Hybridization Methods Multiple objective analysis Network analysis Operating Systems Optimization Optimization algorithms Processor Architectures Slime Social networks Trigonometric functions Association strategy Sine cosine algorithm Fuzzy clustering Modified selection function Slime mould algorithm Overlapping community detection
ISSN:	1386-7857, 1573-7543
Online Access:	Get full text
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