| Texto completo | |
| Autor(es): |
Vega-Oliveros, Didier A.
[1, 2]
;
Grande, Helder L. C.
[3]
;
Iannelli, Flavio
[4]
;
Vazquez, Federico
[5, 6]
Número total de Autores: 4
|
| Afiliação do(s) autor(es): | [1] Univ Campinas UNICAMP, Inst Comp, Campinas, SP - Brazil
[2] Indiana Univ, Luddy Sch Informat Comp & Engn, Ctr Complex Networks & Syst Res, Bloomington, IN - USA
[3] Natl Inst Space Res INPE, Sao Jose Dos Campos, SP - Brazil
[4] Univ Zurich, URPP Social Networks, Andreasstr 15, CH-8050 Zurich - Switzerland
[5] Consejo Nacl Invest Cient & Tecn, Buenos Aires, DF - Argentina
[6] Univ Buenos Aires, Inst Calculo, FCEN, Buenos Aires, DF - Argentina
Número total de Afiliações: 6
|
| Tipo de documento: | Artigo Científico |
| Fonte: | European Physical Journal-Special Topics; v. 230, n. 14-15, p. 2875-2886, OCT 2021. |
| Citações Web of Science: | 1 |
| Resumo | |
The diffusion of opinions in social networks is a relevant process for adopting positions and attracting potential voters in political campaigns. Opinion polarization, bias, targeted diffusion, and the radicalization of postures are key elements for understanding the voting dynamics' challenges. In particular, social bots are currently a new element that can have a pronounced effect on the formation of opinions during electoral processes by, for instance, creating fake accounts in social networks to manipulate elections. Here, we propose a voter model incorporating bots and radical or intolerant individuals in the decision-making process. The dynamics of the system occur in a multiplex network of interacting agents composed of two layers, one for the dynamics of opinions where agents choose between two possible alternatives, and the other for the tolerance dynamics, in which agents adopt one of the two tolerance levels. The tolerance accounts for the likelihood to change opinion in an interaction, with tolerant (intolerant) agents switching opinion with probability 1.0 (gamma <= 1). We find that intolerance leads to a consensus of tolerant agents during an initial stage that scales as tau(+)similar to gamma(-1) In N, who then reach an opinion consensus during the second stage in a time that scales as tau similar to N, where N is the number of agents. Therefore, very intolerant agents (gamma << 1) could considerably slow down dynamics towards the final consensus state. We also find that the inclusion of a fraction sigma(-)(B) of bots breaks the symmetry between both opinions, driving the system to a consensus of intolerant agents with the bots' opinion. Thus, bots eventually impose their opinion to the entire population, in a time that scales as tau(-)(B) similar to gamma(-1) for gamma << sigma(-)(B) and tau(-)(B) similar to 1/sigma(-)(B) ( )for sigma(-)(B) << gamma. (AU) | |
| Processo FAPESP: | 18/24260-5 - Análise de dados espaço-temporais baseado em redes complexas |
| Beneficiário: | Didier Augusto Vega Oliveros |
| Modalidade de apoio: | Bolsas no Exterior - Estágio de Pesquisa - Pós-Doutorado |
| Processo FAPESP: | 13/07375-0 - CeMEAI - Centro de Ciências Matemáticas Aplicadas à Indústria |
| Beneficiário: | Francisco Louzada Neto |
| Modalidade de apoio: | Auxílio à Pesquisa - Centros de Pesquisa, Inovação e Difusão - CEPIDs |
| Processo FAPESP: | 19/26283-5 - Aprendendo pistas visuais da passagem do tempo |
| Beneficiário: | Didier Augusto Vega Oliveros |
| Modalidade de apoio: | Bolsas no Brasil - Pós-Doutorado |
| Processo FAPESP: | 16/23698-1 - Processos Dinâmicos em Aprendizado de Máquina baseados em Redes Complexas |
| Beneficiário: | Didier Augusto Vega Oliveros |
| Modalidade de apoio: | Bolsas no Brasil - Pós-Doutorado |
| Processo FAPESP: | 15/50122-0 - Fenômenos dinâmicos em redes complexas: fundamentos e aplicações |
| Beneficiário: | Elbert Einstein Nehrer Macau |
| Modalidade de apoio: | Auxílio à Pesquisa - Temático |