Non-Digital Social Networks in Collective Action: Agent-Based Model

The purpose of the present study was to explore the relationship between cognitive, emotional, and contextual variables and the topology of non-digital networks in the emergence, maintenance, and extinction of collective action using an agent-based model. With the help of NetLogo, different network...

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Detalhes bibliográficos
Autores: Zamudio Sosa, Alejandro, Rueda Rodríguez, Lilian Guadalupe
Formato: artículo
Estado:Versión publicada
Fecha de publicación:2024
País:México
Recursos:UNIVERSIDAD DE SONORA
Repositorio:Psicumex
Idioma:español
OAI Identifier:oai:aoi.psicumex.unison.mx:article/627
Acesso em linha:https://psicumex.unison.mx/index.php/psicumex/article/view/627
Access Level:acceso abierto
Palavra-chave:collective action
agent model
social networks
collective identity
emotions
acción colectiva
modelo de agentes
redes sociales
identidad colectiva
emociones
Descrição
Resumo:The purpose of the present study was to explore the relationship between cognitive, emotional, and contextual variables and the topology of non-digital networks in the emergence, maintenance, and extinction of collective action using an agent-based model. With the help of NetLogo, different network topologies were developed, through which social identity, collective efficacy, social norms, anger, secrecy of the political system were modeled. 22,000 thousand simulations were carried out varying the average number of nodes that connect the agents. It was found that the average number of days where the collective action was active was related in a sigmoid manner to the average number of connections between the agents. Anger as a psychological variable strongly motivated agents to participate in collective action. Agent-based models help to understand phenomena such as emergence, phase transition, or self-organization in complex social phenomena such as collective action.