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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Nature Portfolio
2021
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oai:doaj.org-article:f6020617828c4696b74184ec600044712021-12-02T17:12:18ZThe paradox of second-order homophily in networks10.1038/s41598-021-92719-62045-2322https://doaj.org/article/f6020617828c4696b74184ec600044712021-06-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-92719-6https://doaj.org/toc/2045-2322Abstract 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.Anna EvtushenkoJon KleinbergNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-10 (2021) |
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Medicine R Science Q Anna Evtushenko Jon Kleinberg The paradox of second-order homophily in networks |
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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. |
format |
article |
author |
Anna Evtushenko Jon Kleinberg |
author_facet |
Anna Evtushenko Jon Kleinberg |
author_sort |
Anna Evtushenko |
title |
The paradox of second-order homophily in networks |
title_short |
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_sort |
paradox of second-order homophily in networks |
publisher |
Nature Portfolio |
publishDate |
2021 |
url |
https://doaj.org/article/f6020617828c4696b74184ec60004471 |
work_keys_str_mv |
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1718381473830010880 |