Strategy for maximizing information influence in social networks

被引：0
|
作者：
Lezhnina, E. A. [1 ]
Kalinina, E. A. [1 ]
Karpenko, V. A. [1 ]
Kononov, I. A. [1 ]
机构：
[1] St Petersburg State Univ, Fac Appl Math & Control Proc, Univ Prospekt 35, St Petersburg, Russia
来源：
INTERNATIONAL CONFERENCE ON NUMERICAL ANALYSIS AND APPLIED MATHEMATICS 2022, ICNAAM-2022 | 2024年 / 3094卷
关键词：
D O I：
10.1063/5.0210620
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
The article presents a model of information dissemination in social networks. The model takes into account the influence of individuals on the community. The proposed algorithm divides the community into groups of related participants. An appropriate algorithm for finding the most influential agents in connected groups is also proposed. Social network participants are modeled as a directed graph with edges representing the relationships between them. The division into groups was carried out using an algorithm for reducing the adjacency matrix of a directed graph.
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页数：4
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