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Article: The friendship paradox in real and model networks

TitleThe friendship paradox in real and model networks
Authors
Keywordsassortative mixing
friendship paradox
generalized friendship paradox
generating functions
random graphs
real-world networks
Issue Date2021
Citation
Journal of Complex Networks, 2021, v. 9, n. 2, article no. cnab011 How to Cite?
AbstractThe friendship paradox is the observation that the degrees of the neighbours of a node in any network will, on average, be greater than the degree of the node itself. In common parlance, your friends have more friends than you do. In this article, we develop the mathematical theory of the friendship paradox, both in general as well as for specific model networks, focusing not only on average behaviour but also on variation about the average and using generating function methods to calculate full distributions of quantities of interest. We compare the predictions of our theory with measurements on a large number of real-world network datasets and find remarkably good agreement. We also develop equivalent theory for the generalized friendship paradox, which compares characteristics of nodes other than degree to those of their neighbours.
Persistent Identifierhttp://hdl.handle.net/10722/317043
ISSN
2021 Impact Factor: 1.492
2020 SCImago Journal Rankings: 0.555
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorCantwell, George T.-
dc.contributor.authorKirkley, Alec-
dc.contributor.authorNewman, M. E.J.-
dc.date.accessioned2022-09-19T06:18:40Z-
dc.date.available2022-09-19T06:18:40Z-
dc.date.issued2021-
dc.identifier.citationJournal of Complex Networks, 2021, v. 9, n. 2, article no. cnab011-
dc.identifier.issn2051-1310-
dc.identifier.urihttp://hdl.handle.net/10722/317043-
dc.description.abstractThe friendship paradox is the observation that the degrees of the neighbours of a node in any network will, on average, be greater than the degree of the node itself. In common parlance, your friends have more friends than you do. In this article, we develop the mathematical theory of the friendship paradox, both in general as well as for specific model networks, focusing not only on average behaviour but also on variation about the average and using generating function methods to calculate full distributions of quantities of interest. We compare the predictions of our theory with measurements on a large number of real-world network datasets and find remarkably good agreement. We also develop equivalent theory for the generalized friendship paradox, which compares characteristics of nodes other than degree to those of their neighbours.-
dc.languageeng-
dc.relation.ispartofJournal of Complex Networks-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectassortative mixing-
dc.subjectfriendship paradox-
dc.subjectgeneralized friendship paradox-
dc.subjectgenerating functions-
dc.subjectrandom graphs-
dc.subjectreal-world networks-
dc.titleThe friendship paradox in real and model networks-
dc.typeArticle-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1093/comnet/cnab011-
dc.identifier.scopuseid_2-s2.0-85107905369-
dc.identifier.volume9-
dc.identifier.issue2-
dc.identifier.spagearticle no. cnab011-
dc.identifier.epagearticle no. cnab011-
dc.identifier.eissn2051-1329-
dc.identifier.isiWOS:000750884500003-

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