
A study of a complex model of opinion dynamics in social networks
Author(s) -
Dmitry Gubanov
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1740/1/012040
Subject(s) - dynamics (music) , process (computing) , computer science , social dynamics , state (computer science) , opinion leadership , social psychology , management science , psychology , artificial intelligence , public relations , political science , engineering , pedagogy , algorithm , operating system
Many micro-level models of information processes in social networks consider either a change in the information-psychological state of agents (opinions, beliefs, attitudes) or a change in their observable behavior (actions). The goal in this paper is to develop and analyze a complex agent-based model of opinion dynamics that describes the dynamics of agents’ beliefs and the process of performing actions by agents. The issues of reaching consensus and polarizing opinions of agents are investigated.