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We consider an opinion dynamics model coupled with an environmental dynamics. Based on a forward invariance argument, we can simplify the analysis of the asymptotic behavior to the case when all the opinions in the social network are…

系统与控制 · 电气工程与系统科学 2025-04-07 Anthony Couthures , Anastasia Bizyaeva , Vineeth S. Varma , Alessio Franci , Irinel-Constantin Morarescu

The massive amount of text data on the web has facilitated research on the quantitative analysis of public opinion, which could not be visualized earlier. In this paper, we propose a new opinion dynamics theory. This theory that is intended…

物理与社会 · 物理学 2019-01-01 Akira Ishii , Yasuko Kawahata

We propose and analyze a nonlinear dynamic model of continuous-time multi-dimensional belief formation over signed social networks. Our model accounts for the effects of a structured belief system, self-appraisal, internal biases, and…

物理与社会 · 物理学 2024-07-04 Anastasia Bizyaeva , Alessio Franci , Naomi Ehrich Leonard

The advent and proliferation of social media have led to the development of mathematical models describing the evolution of beliefs/opinions in an ecosystem composed of socially interacting users. The goal is to gain insights into…

社会与信息网络 · 计算机科学 2017-10-04 Alessandro Nordio , Alberto Tarable , Carla Fabiana Chiasserini , Emilio Leonardi

Understanding the evolution of collective beliefs is of critical importance to get insights on the political trends as well as on social tastes and opinions. In particular, it is pivotal to develop analytical models that can predict the…

社会与信息网络 · 计算机科学 2019-10-25 Alessandro Nordio , Alberto Tarable , Carla Fabiana Chiasserini , Emilio Leonardi

We study a non-linear dynamical system on networks inspired by the pitchfork bifurcation normal form. The system has several interesting interpretations: as an interconnection of several pitchfork systems, a gradient dynamical system and…

动力系统 · 数学 2021-08-19 Karel Devriendt , Renaud Lambiotte

We consider a certain class of nonlinear maps that preserve the probability simplex, i.e., stochastic maps, that are inspired by the DeGroot-Friedkin model of belief/opinion propagation over influence networks. The corresponding dynamical…

系统与控制 · 计算机科学 2018-10-11 Zahra Askarzadeh , Rui Fu , Abhishek Halder , Yongxin Chen , Tryphon T. Georgiou

We recently proposed a model coupling the evolution of the opinions of the individual with the local network topology. The opinion dynamics is based on the Bounded Confidence model. The social networks is based on a group concept where each…

物理与社会 · 物理学 2010-03-19 F. Gargiulo , S. Huet

Social media platforms have transformed the dynamics of collective opinion formation, enabling rapid, large-scale interactions while simultaneously exposing online discourse to polarization and manipulation. Traditional models of opinion…

物理与社会 · 物理学 2025-11-18 Shigefumi Hata , Renaud Lambiotte , Hiroya Nakao , Ryota Kobayashi

The boundaries between physical and social networks have narrowed with the advent of the Internet and its pervasive platforms. This has given rise to a complex adaptive information ecosystem where individuals and machines compete for…

Opinions are an integral part of how we perceive the world and each other. They shape collective action, playing a role in democratic processes, the evolution of norms, and cultural change. For decades, researchers in the social and natural…

物理与社会 · 物理学 2022-12-21 Antonio F. Peralta , János Kertész , Gerardo Iñiguez

The spatial organization of individuals and their interactions in communities are important factors known to preserve diversity in many complex systems. Inspired by metapopulation models from ecology, we study opinion formation using a…

物理与社会 · 物理学 2026-05-19 Tim Mauch , Thilo Gross

Opinion polarization is a ubiquitous phenomenon in opinion dynamics. In contrast to the traditional consensus oriented group decision making (GDM) framework, this paper proposes a framework with the co-evolution of both opinions and…

社会与信息网络 · 计算机科学 2017-05-18 Qingxing Dong , Xin Zhou

Understanding how sustainable behaviors spread within heterogeneous societies requires the integration of behavioral data, social influence mechanisms, and structured approaches to control. In this paper, we propose a data-driven…

社会与信息网络 · 计算机科学 2025-11-17 Martina Alutto , Sofia Bellotti , Fabrizio Dabbene , Chiara Ravazzi

The proliferation of public networks has enabled instantaneous and interactive communication that transcends temporal and spatial constraints. The vast amount of textual data on the Web has facilitated the study of quantitative analysis of…

物理与社会 · 物理学 2024-04-22 Yasuko Kawahata

Polarization is a well-documented phenomenon across a wide range of social issues. However, prevailing theories often compartmentalize the examination of herding behavior and opinion convergence within different contexts. In this study, we…

理论经济学 · 经济学 2024-05-03 Ugo Bolletta , Paolo Pin

The advent of social media platforms has revolutionized information consumption patterns, with individuals frequently engaging in these platforms for social interactions. This trend has fostered an environment where people gravitate towards…

物理与社会 · 物理学 2024-08-26 Samana Pranesh , Sayan Gupta

Opinion dynamics of a group of individuals is the change in the members' opinions through mutual interaction with each other. The related literature contains works in which the dynamics is modeled as a continuous system, of which behavioral…

动力系统 · 数学 2018-01-01 F. Ataş , A. Demirci , C. Özemir

In this paper, we present an empirical study of the opinion dynamics of a large-scale sample of online social network users. We estimate opinions of users as continuous scalars based on their subscriptions to information sources and analyze…

社会与信息网络 · 计算机科学 2022-01-26 Ivan V. Kozitsin

We present and analyze a model of opinion formation on an arbitrary network whose dynamics comes from a global energy function. We study the global and local minimizers of this energy, which we call stable opinion configurations, and…

动力系统 · 数学 2018-05-23 Jared C. Bronski , Lee DeVille , Tim Ferguson , Michael Livesay
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