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 express 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 express an opinion is influenced by the social pressure exerted on them, modulated by a polarization coefficient. We prove that the network reaches an instantaneous but metastable consensus, when the polarization coefficient diverges
We investigate opinion dynamics and information spreading on networks under the influence of content...
We describe a model for polarization in multi-agent systems based on Estebanand Ray's standard famil...
A biased assimilation model of opinion dynamics is a nonlinear model, in which opinions exchanged in...
A polarized social network is modeled as a system of interacting marked point processes with memory ...
We study the metastable behavior of two systems of interacting point processes with memory of variab...
Human interactions create social networks forming the backbone of societies. Individuals adjust thei...
Most of the distributed protocols for multi-agent consensus assume that the agents are mutually coop...
We introduce a socially motivated extension of the voter model in which individual voters are also i...
Far beyond its relevance for commercial and political marketings, opinion formation and decision mak...
We consider a variation of the Deffuant-Weisbuch model introduced by Deffuant et al. in 2000, to pro...
We describe a model for polarization in multi-agent systems based on Esteban and Ray's standard fami...
Polarization in debates and social networks is a phenomenon clearly present in modern societies that...
In this paper, we propose a Boltzmann-type kinetic description of opinion formation on social networ...
We investigate opinion dynamics as a stochastic process in social networks. We introduce the stubbor...
The flourishing of fake news is supported by recommendation algorithms of online social networks, wh...
We investigate opinion dynamics and information spreading on networks under the influence of content...
We describe a model for polarization in multi-agent systems based on Estebanand Ray's standard famil...
A biased assimilation model of opinion dynamics is a nonlinear model, in which opinions exchanged in...
A polarized social network is modeled as a system of interacting marked point processes with memory ...
We study the metastable behavior of two systems of interacting point processes with memory of variab...
Human interactions create social networks forming the backbone of societies. Individuals adjust thei...
Most of the distributed protocols for multi-agent consensus assume that the agents are mutually coop...
We introduce a socially motivated extension of the voter model in which individual voters are also i...
Far beyond its relevance for commercial and political marketings, opinion formation and decision mak...
We consider a variation of the Deffuant-Weisbuch model introduced by Deffuant et al. in 2000, to pro...
We describe a model for polarization in multi-agent systems based on Esteban and Ray's standard fami...
Polarization in debates and social networks is a phenomenon clearly present in modern societies that...
In this paper, we propose a Boltzmann-type kinetic description of opinion formation on social networ...
We investigate opinion dynamics as a stochastic process in social networks. We introduce the stubbor...
The flourishing of fake news is supported by recommendation algorithms of online social networks, wh...
We investigate opinion dynamics and information spreading on networks under the influence of content...
We describe a model for polarization in multi-agent systems based on Estebanand Ray's standard famil...
A biased assimilation model of opinion dynamics is a nonlinear model, in which opinions exchanged in...