| Full text | |
| Author(s): |
Galves, Antonio
;
Laxa, Kadmo
Total Authors: 2
|
| Document type: | Journal article |
| Source: | Stochastic Processes and their Applications; v. 177, p. 24-pg., 2024-08-23. |
| Abstract | |
A polarized social network is modeled as a system of interacting marked point processes with memory of variable length. Each point process indicates the successive times in which a social actor expresses a "favorable"or "contrary"opinion. After expressing an opinion, the social pressure on the actor is reset to 0, waiting for the group's reaction. The orientation and the rate at which an actor expresses an opinion is influenced by the social pressure exerted on it, modulated by a polarization coefficient. We prove that the network reaches an instantaneous but metastable consensus, when the polarization coefficient diverges. (AU) | |
| FAPESP's process: | 13/07699-0 - Research, Innovation and Dissemination Center for Neuromathematics - NeuroMat |
| Grantee: | Oswaldo Baffa Filho |
| Support Opportunities: | Research Grants - Research, Innovation and Dissemination Centers - RIDC |
| FAPESP's process: | 22/07386-0 - Modeling neuronal networks as systems of interacting point processes with memory of variable length |
| Grantee: | Kádmo de Souza Laxa |
| Support Opportunities: | Scholarships in Brazil - Post-Doctoral |
| FAPESP's process: | 23/12335-9 - Modeling neuronal networks as systems of interacting point processes with memory of variable length: models comparison and mean-field limits |
| Grantee: | Kádmo de Souza Laxa |
| Support Opportunities: | Scholarships abroad - Research Internship - Post-doctor |