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Constituents of complex systems interact with each other and self-organize to form complex networks. Empirical results show that the link formation process of many real networks follows either the global principle of popularity or the local…

Physics and Society · Physics 2016-01-19 Wen-Jie Xie , Ming-Xia Li , Zhi-Qiang Jiang , Qun-Zhao Tan , Boris Podobnik , Wei-Xing Zhou , H. Eugene Stanley

It is known that individuals in social networks tend to exhibit homophily (a.k.a. assortative mixing) in their social ties, which implies that they prefer bonding with others of their own kind. But what are the reasons for this phenomenon?…

Social and Information Networks · Computer Science 2017-03-28 Chen Avin , Hadassa Daltrophe , Zvi Lotker , David Peleg

People are observed to assortatively connect on a set of traits. This phenomenon, termed assortative mixing or sometimes homophily, can be quantified through assortativity coefficient in social networks. Uncovering the exact causes of…

Physics and Society · Physics 2017-03-21 Sanja Šćepanović , Igor Mishkovski , Bruno Gonçalves , Nguyen Trung Hieu , Pan Hui

Homophily describes a fundamental tie-formation mechanism in social networks in which connections between similar nodes occur at a higher rate than among dissimilar ones. In this article, we present an extension of the Weighted Social…

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…

Physics and Society · Physics 2017-09-01 Ivan Smirnov , Stefan Thurner

Homophily, the tendency of humans to attract each other when sharing similar features, traits, or opinions has been identified as one of the main driving forces behind the formation of structured societies. Here we ask to what extent…

Statistical Mechanics · Physics 2023-02-08 Jan Korbel , Simon D. Lindner , Tuan Minh Pham , Rudolf Hanel , Stefan Thurner

The tendency for individuals to form social ties with others who are similar to themselves, known as homophily, is one of the most robust sociological principles. Since this phenomenon can lead to patterns of interactions that segregate…

Social and Information Networks · Computer Science 2022-05-30 Rediet Abebe , Nicole Immorlica , Jon Kleinberg , Brendan Lucier , Ali Shirali

Family relations are the most fundamental of all social networks and encompass everyone. Family networks grow as individuals have children, creating connections between families, which over time create large and complex structures. While…

Physics and Society · Physics 2025-08-08 Lasse Mohr , Andreas Bjerre-Nielsen , Sune Lehmann

Homophily can put minority groups at a disadvantage by restricting their ability to establish links with people from a majority group. This can limit the overall visibility of minorities in the network. Building on a Barab\'{a}si-Albert…

Physics and Society · Physics 2020-10-06 Fariba Karimi , Mathieu Génois , Claudia Wagner , Philipp Singer , Markus Strohmaier

"Rich-get-richer" and "homophily" are two important phenomena in evolving social networks. "Rich-get-richer" means people with higher followings are more likely to attract new fans, and "homophily" means people prefer to bond with others of…

Methodology · Statistics 2022-04-26 Hanyang Tian , Bo Zhang , Ruixue Jiang

The social network maintained by a focal individual, or ego, is intrinsically dynamic and typically exhibits some turnover in membership over time as personal circumstances change. However, the consequences of such changes on the…

Physics and Society · Physics 2014-07-14 J. Saramaki , E. A. Leicht , E. Lopez , S. G. B. Roberts , F. Reed-Tsochas , R. I. M. Dunbar

Network autocorrelation models are widely used to evaluate the impact of social influence on some variable of interest. This is a large class of models that parsimoniously accounts for how one's neighbors influence one's own behaviors or…

Social and Information Networks · Computer Science 2020-05-21 Daniel K. Sewell

Online communities play a critical role in shaping societal discourse and influencing collective behavior in the real world. The tendency for people to connect with others who share similar characteristics and views, known as homophily,…

Social and Information Networks · Computer Science 2025-02-06 Lanqin Yuan , Philipp J. Schneider , Marian-Andrei Rizoiu

The weight of links in a network is often related to the similarity of the nodes. Here, we introduce a simple tunable measure for analysing the similarity of nodes across different link weights. In particular, we use the measure to analyze…

Social and Information Networks · Computer Science 2016-06-21 Anders Mollgaard , Ingo Zettler , Jesper Dammeyer , Mogens H. Jensen , Sune Lehmann , Joachim Mathiesen

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…

Physics and Society · Physics 2012-04-10 Yann Bramoullé , Sergio Currarini , Matthew O. Jackson , Paolo Pin , Brian W. Rogers

Social networks profoundly influence how humans form opinions, exchange information, and organize collectively. As large language models (LLMs) are increasingly embedded into social and professional environments, it is critical to…

Social and Information Networks · Computer Science 2025-10-07 Marios Papachristou , Yuan Yuan

The structure of real-world social networks in large part determines the evolution of social phenomena, including opinion formation, diffusion of information and influence, and the spread of disease. Globally, network structure is…

Social and Information Networks · Computer Science 2015-01-20 Sidharth Gupta , Xiaoran Yan , Kristina Lerman

It is well known that networks generated by common mechanisms such as preferential attachment and homophily can disadvantage the minority group by limiting their ability to establish links with the majority group. This has the effect of…

Social and Information Networks · Computer Science 2021-12-21 Xindi Wang , Onur Varol , Tina Eliassi-Rad

People recommender systems may affect the exposure that users receive in social networking platforms, influencing attention dynamics and potentially strengthening pre-existing inequalities that disproportionately affect certain groups. In…

Social and Information Networks · Computer Science 2021-12-16 Francesco Fabbri , Maria Luisa Croci , Francesco Bonchi , Carlos Castillo

Large-scale human social network structure is typically inferred from digital trace samples of online social media platforms or mobile communication data. Instead, here we investigate the social network structure of a complete population,…

Physics and Society · Physics 2022-11-29 Eszter Bokányi , Eelke M. Heemskerk , Frank W. Takes