Maximizing the Influence Spread in Social Networks: A Learning-Automata-Driven Discrete Butterfly Optimization Algorithm

Maximizing the Influence Spread in Social Networks: A Learning-Automata-Driven Discrete Butterfly Optimization Algorithm

Influence maximization aims at the identification of a small group of individuals that may result in the most wide information transmission in social networks. Although greedy-based algorithms can yield reliable solutions, the computational cost is extreme expensive, especially in large-scale networ...

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Bibliographic Details
Main Authors: Jianxin Tang, Hongyu Zhu, Jimao Lan, Li Zhang, Shihui Song
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Symmetry
Subjects:
social network
influence maximization
swarm intelligence
learning automata
discrete butterfly optimization algorithm
Online Access:https://www.mdpi.com/2073-8994/15/1/117

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