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Understanding what and how causal dynamical mechanisms generate collective phenomena is a central challenge in complexity science. Recent studies have focused on identifying the mechanisms underlying the synergistic interdependencies that…

物理与社会 · 物理学 2026-04-14 Enrico Caprioglio , Luc Berthouze

Homophily and social influence are the fundamental mechanisms that drive the evolution of attitudes, beliefs and behaviour within social groups. Homophily relates the similarity between pairs of individuals' attitudinal states to their…

物理与社会 · 物理学 2015-06-12 Jonathan Ward , Peter Grindrod

Homophily is the seemingly ubiquitous tendency for people to connect and interact with other individuals who are similar to them. This is a well-documented principle and is fundamental for how society organizes. Although many social…

社会与信息网络 · 计算机科学 2023-01-12 Nate Veldt , Austin R. Benson , Jon Kleinberg

Homophily -- the tendency of individuals to interact with similar others -- shapes how networks form and function. Yet existing approaches typically collapse homophily to a single scale, either one parameter for the whole network or one per…

物理与社会 · 物理学 2025-12-16 Abbas K. Rizi , Riccardo Michielan , Clara Stegehuis , Mikko Kivelä

Understanding the emergence of strong controversial issues in modern societies is a key issue in opinion studies. A commonly diffused idea is the fact that the increasing of homophily in social networks, due to the modern ICT, can be a…

物理与社会 · 物理学 2021-10-27 F. Gargiulo , Y. Gandica

The arise of disagreement is an emergent phenomenon that can be observed within a growing social group and, beyond a certain threshold, can lead to group fragmentation. To better understand how disagreement emerges, we introduce an…

Homophily, the tendency of individuals to connect with others who share similar attributes, is a defining feature of social networks. Understanding how groups interact, both within and across, is crucial for uncovering the dynamics of…

社会与信息网络 · 计算机科学 2025-09-24 Akrati Saxena , Gaurav Kumar , Chandrakala Meena

In recent years, social media has become a ubiquitous and integral part of social networking. One of the major attentions made by social researchers is the tendency of like-minded people to interact with one another in social groups, a…

社会与信息网络 · 计算机科学 2020-08-25 Kazi Zainab Khanam , Gautam Srivastava , Vijay Mago

Recent attempts to understand the origin of social fragmentation are based on spin models which include terms accounting for two social phenomena: homophily -- the tendency for people with similar opinions to establish positive relations --…

物理与社会 · 物理学 2020-12-22 Tuan Minh Pham , Andrew C. Alexander , Jan Korbel , Rudolf Hanel , Stefan Thurner

Are we as a society getting more polarized, and if so, why? We try to answer this question through a model of opinion formation. Empirical studies have shown that homophily results in polarization. However, we show that DeGroot's well-known…

社会与信息网络 · 计算机科学 2015-06-11 Pranav Dandekar , Ashish Goel , David Lee

We introduce a model for the formation of social networks, which takes into account the homophily or the tendency of individuals to associate and bond with similar others, and the mechanisms of global and local attachment as well as tie…

物理与社会 · 物理学 2019-03-28 Yohsuke Murase , Hang-Hyun Jo , János Török , János Kertész , Kimmo Kaski

Real-world social networks often exhibit high levels of clustering, positive degree assortativity, short average path lengths (small-world property) and right-skewed but rarely power law degree distributions. On the other hand homophily,…

社会与信息网络 · 计算机科学 2020-04-03 Szymon Talaga , Andrzej Nowak

We consider a dynamic network of individuals that may hold one of two different opinions in a two-party society. As a dynamical model, agents can endlessly create and delete links to satisfy a preferred degree, and the network is shaped by…

统计力学 · 物理学 2021-10-26 Xiang Li , Mauro Mobilia , Alastair M. Rucklidge , R. K. P. Zia

We investigate the long-time properties of a dynamic, out-of-equilibrium network of individuals holding one of two opinions in a population consisting of two communities of different sizes. Here, while the agents' opinions are fixed, they…

物理与社会 · 物理学 2022-02-01 Xiang Li , Mauro Mobilia , Alastair M. Rucklidge , R. K. P. Zia

Many social interactions are group-based, yet their role in social polarization remains largely unexplored. To bridge this gap here we introduce a higher-order framework that takes into account both group interactions and homophily. We find…

How self-organization leads to the emergence of structure in social populations remains a fascinating and open question in the study of complex systems. One frequently observed structure that emerges again and again across systems is that…

物理与社会 · 物理学 2022-05-04 Matthew J. Young , Matthew J. Silk , Alex J. Pritchard , Nina H. Fefferman

Homophily, the tendency of individuals to associate with others who share similar traits, has been identified as a major driving force in the formation and evolution of social ties. In many cases, it is not clear if homophily is the result…

物理与社会 · 物理学 2017-09-01 Ivan Smirnov , Stefan Thurner

We model network formation when heterogeneous nodes enter sequentially and form connections through both random meetings and network-based search, but with type-dependent biases. We show that there is "long-run integration," whereby the…

物理与社会 · 物理学 2012-04-10 Yann Bramoullé , Sergio Currarini , Matthew O. Jackson , Paolo Pin , Brian W. Rogers

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

Empirical studies are inconclusive about the underlying mechanisms that shape the interrelated dynamics of opinions and interpersonal attraction. There is strong evidence that others whom are liked have a positive influence on opinions and…

物理与社会 · 物理学 2016-07-13 Károly Takács , Andreas Flache , Michael Mäs
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