Origins of Homophily in an Evolving Social Network1

By Gregory Kossinets, Duncan J. Watts. American Journal of Sociology, 2009

894 citations recorded by the source corpus.

Subfields: Management Science and Operations Research, Sociology and Political Science, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/3c49c8ae5e3dc5f7ccb26b4852ef243d94452e4a

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In Management Science and Operations Research

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Citations in the corpus

Differences in the mechanics of information diffusion across topics: idioms, political hashtags, and complex contagion on twitter (2011, background): “Recent work has investigated this interplay of influence and homophily in the spreading of on-line behaviors [2, 8, 3, 19]; It would be interesting to look at how this varies across topics and categories of information as well — it is plausible, for example, that the joint mention of a political has”
The Spread of Behavior in an Online Social Network Experiment (2010, neutral): “In the real world, these features of social relationships tend to be highly correlated with the formation of clustered social ties (3, 22, 23).”
Discretion Within Constraint: Homophily and Structure in a Formal Organization (2012, neutral): “When two people receive the same mass email, we assume it indicates the presence of a common group affiliation (Kossinets and Watts 2009).”
Turning Lead into Gold: How Do Entrepreneurs Mobilize Resources to Exploit Opportunities? (2018, neutral): “…social networks: induced homophily refers to the fact that similar people often have a higher base rate of encountering one another (e.g., due to geographic location) and choice homophily refers to an individual ’ s preference toward associating with similar others (Kossinets & Watts, 2009).”
What makes an image popular? (2014, background): “Another related work [31] considers homophily in social networks: they conclude that users’ preference to similar people is ampliﬁed over time, due to biased selection.”
The role of social networks in information diffusion (2012, background): “Moreover, homophily – the tendency of individuals with similar characteristics to associate with one another [1, 28, 34] – creates diﬃculties for measuring the relative role of strong and weak ties in information diﬀusion, since people are more similar to those with whom they interact often [22,…”
The echo chamber effect on social media (2021, background): “Homophily in social interactions can be quantiﬁed by representing interactions as a social network and then analyzing its structure concerning the opinions of the users (18, 39, 40).”
Network Effects and Social Inequality (2012, result): “…the traits they share with different alters, as opposed to bring together alters with different characteristics (possibly creating bridges) (but see Kossinets & Watts 2009). comparing the results of models based on alternative specifications, in order to identify the mechanisms that are most…”
Attributed Social Network Embedding (2017, background): “In more recent years, [18] investigated the origins of homophily in a large university community, using network data in which interactions, attributes and affiliations were all recorded over time.”