The paradox of second-order homophily in networks

Abstract Homophily—the tendency of nodes to connect to others of the same type—is a central issue in the study of networks. Here we take a local view of homophily, defining notions of first-order homophily of a node (its individual tendency to link to similar others) and second-order homophily of a...

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Main Authors: Anna Evtushenko, Jon Kleinberg
Format: Article
Language:English
Published: Nature Portfolio 2021-06-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-021-92719-6
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author Anna Evtushenko
Jon Kleinberg
author_facet Anna Evtushenko
Jon Kleinberg
author_sort Anna Evtushenko
collection DOAJ
description Abstract Homophily—the tendency of nodes to connect to others of the same type—is a central issue in the study of networks. Here we take a local view of homophily, defining notions of first-order homophily of a node (its individual tendency to link to similar others) and second-order homophily of a node (the aggregate first-order homophily of its neighbors). Through this view, we find a surprising result for homophily values that applies with only minimal assumptions on the graph topology. It can be phrased most simply as “in a graph of red and blue nodes, red friends of red nodes are on average more homophilous than red friends of blue nodes”. This gap in averages defies simple intuitive explanations, applies to globally heterophilous and homophilous networks and is reminiscent of but structually distinct from the Friendship Paradox. The existence of this gap suggests intrinsic biases in homophily measurements between groups, and hence is relevant to empirical studies of homophily in networks.
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spelling doaj.art-f6020617828c4696b74184ec600044712022-12-21T19:32:52ZengNature PortfolioScientific Reports2045-23222021-06-0111111010.1038/s41598-021-92719-6The paradox of second-order homophily in networksAnna Evtushenko0Jon Kleinberg1Department of Information Science, Cornell UniversityDepartment of Information Science, Cornell UniversityAbstract Homophily—the tendency of nodes to connect to others of the same type—is a central issue in the study of networks. Here we take a local view of homophily, defining notions of first-order homophily of a node (its individual tendency to link to similar others) and second-order homophily of a node (the aggregate first-order homophily of its neighbors). Through this view, we find a surprising result for homophily values that applies with only minimal assumptions on the graph topology. It can be phrased most simply as “in a graph of red and blue nodes, red friends of red nodes are on average more homophilous than red friends of blue nodes”. This gap in averages defies simple intuitive explanations, applies to globally heterophilous and homophilous networks and is reminiscent of but structually distinct from the Friendship Paradox. The existence of this gap suggests intrinsic biases in homophily measurements between groups, and hence is relevant to empirical studies of homophily in networks.https://doi.org/10.1038/s41598-021-92719-6
spellingShingle Anna Evtushenko
Jon Kleinberg
The paradox of second-order homophily in networks
Scientific Reports
title The paradox of second-order homophily in networks
title_full The paradox of second-order homophily in networks
title_fullStr The paradox of second-order homophily in networks
title_full_unstemmed The paradox of second-order homophily in networks
title_short The paradox of second-order homophily in networks
title_sort paradox of second order homophily in networks
url https://doi.org/10.1038/s41598-021-92719-6
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