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Social networks tend to disproportionally favor connections between individuals with either similar or dissimilar characteristics. This propensity, referred to as assortative mixing or homophily, is expressed as the correlation between…

社会与信息网络 · 计算机科学 2011-08-10 Johan Bollen , Bruno Goncalves , Guangchen Ruan , Huina Mao

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?…

社会与信息网络 · 计算机科学 2017-03-28 Chen Avin , Hadassa Daltrophe , Zvi Lotker , David Peleg

Assortative mixing in networks is the tendency for nodes with the same attributes, or metadata, to link to each other. It is a property often found in social networks manifesting as a higher tendency of links occurring between people with…

社会与信息网络 · 计算机科学 2018-04-19 Leto Peel , Jean-Charles Delvenne , Renaud Lambiotte

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

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

This article investigates the impact of user homophily on the social process of information diffusion in online social media. Over several decades, social scientists have been interested in the idea that similarity breeds connection:…

计算机与社会 · 计算机科学 2010-06-10 Munmun De Choudhury , Hari Sundaram , Ajita John , Doree Duncan Seligmann , Aisling Kelliher

We consider the specification of effects of numerical actor attributes in statistical models for directed social networks. A fundamental mechanism is homophily or assortativity, where actors have a higher likelihood to be tied with others…

应用统计 · 统计学 2018-09-12 Tom A. B. Snijders , Alessandro Lomi

Contact networks are heterogeneous. People with similar characteristics are more likely to interact, a phenomenon called assortative mixing or homophily. While age-assortativity is well-established and social contact matrices for…

物理与社会 · 物理学 2024-01-19 Claus Kadelka

We consider processes on social networks that can potentially involve three factors: homophily, or the formation of social ties due to matching individual traits; social contagion, also known as social influence; and the causal effect of an…

应用统计 · 统计学 2022-03-18 Cosma Rohilla Shalizi , Andrew C. Thomas

Much of the structure in social networks has been explained by two seemingly independent network evolution mechanisms: triadic closure and homophily. While it is common to consider these mechanisms separately or in the frame of a static…

物理与社会 · 物理学 2021-04-28 Aili Asikainen , Gerardo Iñiguez , Kimmo Kaski , Mikko Kivelä

Networks describe a range of social, biological and technical phenomena. An important property of a network is its degree correlation or assortativity, describing how nodes in the network associate based on their number of connections.…

社会与信息网络 · 计算机科学 2017-02-06 David N Fisher , Matthew J Silk , Daniel W Franks

The observation that individuals tend to be friends with people who are similar to themselves, commonly known as homophily, is a prominent and well-studied feature of social networks. Many machine learning methods exploit homophily to…

社会与信息网络 · 计算机科学 2017-05-16 Kristen M. Altenburger , Johan Ugander

Our societies are heterogeneous in many dimensions such as census, education, religion, ethnic and cultural composition. The links between individuals - e.g. by friendship, marriage or collaboration - are not evenly distributed, but rather…

物理与社会 · 物理学 2010-06-16 P. Pin , M. Marsili , S. Franz

We study assortative mixing in networks, the tendency for vertices in networks to be connected to other vertices that are like (or unlike) them in some way. We consider mixing according to discrete characteristics such as language or race…

统计力学 · 物理学 2009-11-07 M. E. J. Newman

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

In human societies, people's willingness to compete and strive for better social status as well as being envious of those perceived in some way superior lead to social structures that are intrinsically hierarchical. Here we propose an…

多智能体系统 · 计算机科学 2021-04-28 Jan E. Snellman , Gerardo Iñiguez , Tzipe Govezensky , Rafael A. Barrio , Kimmo K. Kaski

Heterogeneity is a key aspect of complex networks, often emerging by looking at the distribution of node properties, from the milestone observations on the degree to the recent developments in mixing pattern estimation. Mixing patterns, in…

社会与信息网络 · 计算机科学 2021-12-01 Salvatore Citraro , Letizia Milli , Rémy Cazabet , Giulio Rossetti

This paper utilizes a mixture of qualitative, formal, and statistical socio-semantic network analyses to examine how cultural homophily works when field logic meets practice. On the one hand, because individuals in similar field positions…

社会与信息网络 · 计算机科学 2019-02-25 Nikita Basov

The concept of homophily is pervasive in online social media. While many empirical studies have relied on external sociodemographic traits to investigate it, significantly less is known about homophily at the cognitive level, that is, at…

Comprehensive and quantitative investigations of social theories and phenomena increasingly benefit from the vast breadth of data describing human social relations, which is now available within the realm of computational social science.…

物理与社会 · 物理学 2022-09-29 Ajaykumar Manivannan , W. Quin Yow , Roland Bouffanais , Alain Barrat
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