Overlapping community-based fair influence maximization in social networks under open-source development model algorithm

The aim of Influence Maximization (IM) in social networks is to identify an optimal subset of users to maximize the spread of influence across the network. Fair Influence Maximization (FIM) develops the IM problem with the aim of equitable distribution of influence across communities and enhancing t...

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Veröffentlicht in:	The Artificial intelligence review Jg. 58; H. 8; S. 224
Hauptverfasser:	Wei, Pengcheng, Yan, Bei, Huang, Sixing, Zhou, ZhiHong
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Dordrecht Springer Netherlands 03.05.2025 Springer Nature B.V
Schlagworte:	Algorithms Artificial Intelligence Candidates Community Community property Computer Science Dissemination Experiments Information dissemination Maximization Motivation Nodes Optimization Social development Social networks Social networks Optimization algorithm ODMA Fair influence maximization Overlapping communities
ISSN:	1573-7462, 0269-2821, 1573-7462
Online-Zugang:	Volltext
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