An Adaptive Steering-Vector-Based Evolutionary Algorithm for Influence Maximization in Social Networks

Influence Maximization (IM) is to select a subset of nodes from a social network such that the number of nodes influenced by this subset will be maximized. Due to the growing size of social networks, the search space for IM algorithms also expands, the higher computational overhead leads many schola...

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Veröffentlicht in:	IEEE transactions on network science and engineering S. 1 - 14
Hauptverfasser:	Zhang, Lei, Xu, Xinxiang, Ma, Kaicong, Ge, Yuanyuan, Yang, Haipeng
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	IEEE 2025
Schlagworte:	Approximation algorithms Diffusion models Evolutionary computation Greedy algorithms Heuristic algorithms Influence maximization Integrated circuit modeling Meta-heuristic algorithm Metaheuristics Search problems Social network Social networking (online) Steering vector Vectors
ISSN:	2327-4697, 2334-329X
Online-Zugang:	Volltext
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