English
Related papers

Related papers: Opportunity and choice in social networks

200 papers

Understanding susceptibility to online influence is crucial for mitigating the spread of misinformation and protecting vulnerable audiences. This paper investigates susceptibility to influence within social networks, focusing on the…

Social and Information Networks · Computer Science 2025-05-15 Luca Luceri , Jinyi Ye , Julie Jiang , Emilio Ferrara

We develop a method suitable for detecting whether racial homophily is on the rise and also whether the economic divide (i.e., the gap between individuals with different education levels and thereby with different abilities to generate…

General Economics · Economics 2023-02-14 Anna Naszodi , Francisco Mendonca

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…

Physics and Society · Physics 2010-03-19 F. Gargiulo , S. Huet

In the U.S., a significant portion of many people's life-long social networks is formed in college. Yet our understanding of many aspects of this formation process, such as the role of time variation, heterogeneity between educational…

Social and Information Networks · Computer Science 2020-11-05 Jan Overgoor , Bogdan State , Lada Adamic

This paper develops a method to conduct causal inference in the presence of unobserved confounders by leveraging networks with homophily, a frequently observed tendency to form edges with similar nodes. I introduce a concept of asymptotic…

Econometrics · Economics 2025-11-04 Vincent Starck

Understanding how social behavior influences epidemic dynamics has become a central focus in mathematical epidemiology. In particular, \textit{behavioral homophily} (the tendency of individuals to associate with similar others) and…

Reciprocity, or the tendency of individuals to mirror behavior, is a key measure that describes information exchange in a social network. Users in social networks tend to engage in different levels of reciprocal behavior. Differences in…

Machine Learning · Statistics 2023-08-22 Daniel Cirkovic , Tiandong Wang

In Schelling's segregation model agents of two ethnic groups reside in a regular grid and aim to live in a neighborhood that matches the minimum desired fraction of members of the same ethnicity. The model shows that observed segregation…

Physics and Society · Physics 2018-09-06 Rocco Paolillo , Jan Lorenz

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

The universal properties of power law and small world phenomenon of networks seem unavoidably obstacles for security of networking systems. Existing models never give secure networks. We found that the essence of security is the security…

Social and Information Networks · Computer Science 2013-10-31 Angsheng Li , Wei Zhang , Yicheng Pan , Xuechen Li

Structural inequalities persist in society, conferring systematic advantages to some people at the expense of others, for example, by giving them substantially more influence and opportunities. Using bibliometric data about authors of…

Physics and Society · Physics 2021-05-04 Buddhika Nettasinghe , Nazanin Alipourfard , Vikram Krishnamurthy , Kristina Lerman

The heterogeneity of the influence processes is an important feature of social systems: how we perceive social influence and how we influence other individuals is heavily influenced by our opinion and non-opinion attributes. The latter…

Social and Information Networks · Computer Science 2022-09-07 Ivan V. Kozitsin

Under the sociological theory of homophily, people who are similar to one another are more likely to interact with one another. Marketers often have access to data on interactions among customers from which, with homophily as a guiding…

Applications · Statistics 2011-07-06 Michael Braun , André Bonfrer

Innovation is fundamental for development and provides a competitive advantage for societies. It is the process of creating more complex technologies, ideas, or protocols from existing ones. While innovation may be created by single agents…

Physics and Society · Physics 2024-09-16 Fatemeh Zarei , Jan Ryckebusch , Koen Schoors , Luis E C Rocha

A prominent threat to causal inference about peer effects over social networks is the presence of homophily bias, that is, social influence between friends and families is entangled with common characteristics or underlying similarities…

Methodology · Statistics 2020-02-18 Lan Liu , Eric Tchetgen Tchetgen

In online social networks, it is common to use predictions of node categories to estimate measures of homophily and other relational properties. However, online social network data often lacks basic demographic information about the nodes.…

Social and Information Networks · Computer Science 2020-01-31 George Berry , Antonio Sirianni , Ingmar Weber , Jisun An , Michael Macy

Many online social networks thrive on automatic sharing of friends' activities to a user through activity feeds, which may influence the user's next actions. However, identifying such social influence is tricky because these activities are…

Social and Information Networks · Computer Science 2016-04-06 Amit Sharma , Dan Cosley

Network Creation Games are an important framework for understanding the formation of real-world networks. These games usually assume a set of indistinguishable agents strategically buying edges at a uniform price leading to a network among…

Computer Science and Game Theory · Computer Science 2022-05-02 Martin Bullinger , Pascal Lenzner , Anna Melnichenko

Homophily and social influence are two key concepts of social network analysis. Distinguishing between these phenomena is difficult, and approaches to disambiguate the two have been primarily limited to longitudinal data analyses. In this…

Methodology · Statistics 2024-05-29 Hanh T. D. Pham , Daniel K. Sewell

In recent years, with the growing number of online social networks, these networks have become one of the best markets for advertising and commerce, so studying these networks is very important. Forecasting new edges in online social…

Social and Information Networks · Computer Science 2020-02-17 Alireza Eshaghpour , Mostafa Salehi , Vahid Ranjbar
‹ Prev 1 4 5 6 7 8 10 Next ›