Resumen

ZAMUDIO SOSA, Alejandro  y  RUEDA RODRIGUEZ, Lilian Guadalupe. Non-Digital Social Networks in Collective Action: Agent-Based Model. Psicumex [online]. 2024, vol.14, e627.  Epub 09-Dic-2024. ISSN 2007-5936.  https://doi.org/10.36793/psicumex.v14i1.627.

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.

Palabras llave : collective action; agent model; social networks; collective identity; emotions.

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