| Texto completo | |
| Autor(es): |
Benatti, Alexandre
[1]
;
de Arruda, Henrique F.
[1]
;
Silva, Filipi Nascimento
[2]
;
Comin, Cesar Henrique
[3]
;
Costa, Luciano da Fontoura
[1]
Número total de Autores: 5
|
| Afiliação do(s) autor(es): | [1] Univ Sao Paulo, Sao Carlos Inst Phys, Sao Carlos, SP - Brazil
[2] Indiana Univ, Sch Informat Comp & Engn, Bloomington, IN 47408 - USA
[3] Univ Fed Sao Carlos, Dept Comp Sci, Sao Carlos - Brazil
Número total de Afiliações: 3
|
| Tipo de documento: | Artigo Científico |
| Fonte: | JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT; v. 2020, n. 2 FEB 2020. |
| Citações Web of Science: | 0 |
| Resumo | |
Among the several approaches that have been attempted at studying opinion dynamics, the Sznajd model provides some particularly interesting features, such as its simplicity and ability to represent some of the mechanisms believed to be involved in real-world opinion dynamics. The standard Sznajd model at zero temperature is characterized by converging to one stable state, implying null diversity of opinions. In the present work, we develop an approach-namely the adaptive Sznajd model-in which changes of opinion by an individual (i.e. a network node) implies in possible alterations in the network topology. This is accomplished by allowing agents to change their connections preferentially to other neighbors with the same state. The diversity of opinions along time is quantified in terms of the exponential of the entropy of the opinions density. Several interesting results are reported, including the possible formation of echo chambers or social bubbles. Additionally, depending on the parameters configuration, the dynamics may converge to different equilibrium states for the same parameter setting, which suggests that this phenomenon can be a phase transition. The average degree of the network strongly influences the resultant opinion distribution, which means that echo chambers are easily formed in systems with low link density. (AU) | |
| Processo FAPESP: | 15/22308-2 - Representações intermediárias em Ciência Computacional para descoberta de conhecimento |
| Beneficiário: | Roberto Marcondes Cesar Junior |
| Linha de fomento: | Auxílio à Pesquisa - Temático |
| Processo FAPESP: | 11/50761-2 - Modelos e métodos de e-Science para ciências da vida e agrárias |
| Beneficiário: | Roberto Marcondes Cesar Junior |
| Linha de fomento: | Auxílio à Pesquisa - Temático |
| Processo FAPESP: | 18/09125-4 - Representação, Caracterização e Modelagem de Imagens Biológicas Utilizando Redes Complexas |
| Beneficiário: | Cesar Henrique Comin |
| Linha de fomento: | Auxílio à Pesquisa - Regular |
| Processo FAPESP: | 18/10489-0 - Transformações de redes complexas e suas implicações na topologia e dinâmica de sistemas complexos |
| Beneficiário: | Henrique Ferraz de Arruda |
| Linha de fomento: | Bolsas no Brasil - Pós-Doutorado |