作者
Farzaneh Kazemzadeh, Ali Asghar Safaei, Mitra Mirzarezaee, Sanaz Afsharian, Houman Kosarirad
发表日期
2023/5/14
期刊
Neurocomputing
卷号
534
页码范围
18-28
出版商
Elsevier
简介
With the increasing development of social networks, they have turned into important research platforms. Influence maximization is one of the most important research issues in the field of social networks. This problem detects influential k-node with the greatest influence spread. The influence maximization faces two important challenges, time efficiency and optimal selection of seed nodes. In order to solve such challenges, we propose an algorithm based on optimal pruning and scoring adjustment, which is called IMBC for short. The IMBC (Influence Maximization Based on Community structure) algorithm uses optimal pruning and a minimum of dominating nodes to improve time efficiency. In addition, for optimal selection of seed nodes, the IMBC algorithm modulates the scores of nodes with a high Rich-Club coefficient. In order to select influential nodes, we first select an optimal set using the minimum dominating …
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F Kazemzadeh, AA Safaei, M Mirzarezaee, S Afsharian… - Neurocomputing, 2023