高度极化的社交网络中的快速共识和不稳定性

IF 1.1 2区 数学 Q3 STATISTICS & PROBABILITY Stochastic Processes and their Applications Pub Date : 2024-08-20 DOI:10.1016/j.spa.2024.104459
Antonio Galves , Kádmo Laxa
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引用次数: 0

摘要

一个两极化的社会网络被建模为一个具有可变长度记忆的相互作用的标记点过程系统。每个点进程表示社会行动者表达 "赞成 "或 "反对 "意见的连续时间。在表达意见后,行为者的社会压力会重置为 0,等待群体的反应。行动者表达意见的方向和速度受社会压力的影响,社会压力由极化系数调节。我们证明,当极化系数发散时,网络会达成瞬时但不稳定的共识。
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Fast consensus and metastability in a highly polarized social network

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.

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来源期刊
Stochastic Processes and their Applications
Stochastic Processes and their Applications 数学-统计学与概率论
CiteScore
2.90
自引率
7.10%
发文量
180
审稿时长
23.6 weeks
期刊介绍: Stochastic Processes and their Applications publishes papers on the theory and applications of stochastic processes. It is concerned with concepts and techniques, and is oriented towards a broad spectrum of mathematical, scientific and engineering interests. Characterization, structural properties, inference and control of stochastic processes are covered. The journal is exacting and scholarly in its standards. Every effort is made to promote innovation, vitality, and communication between disciplines. All papers are refereed.
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