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The anatomy of a population-scale social network
by
Takes, Frank W.
, Bokányi, Eszter
, Heemskerk, Eelke M.
in
639/766/530/2801
/ 704/844/2787
/ Communication
/ Connectivity
/ Education
/ Family Characteristics
/ Humanities and Social Sciences
/ Humans
/ multidisciplinary
/ Population
/ Science
/ Science (multidisciplinary)
/ Social Class
/ Social conditions
/ Social Media
/ Social network analysis
/ Social Networking
/ Social networks
/ Social organization
/ Socioeconomics
2023
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The anatomy of a population-scale social network
by
Takes, Frank W.
, Bokányi, Eszter
, Heemskerk, Eelke M.
in
639/766/530/2801
/ 704/844/2787
/ Communication
/ Connectivity
/ Education
/ Family Characteristics
/ Humanities and Social Sciences
/ Humans
/ multidisciplinary
/ Population
/ Science
/ Science (multidisciplinary)
/ Social Class
/ Social conditions
/ Social Media
/ Social network analysis
/ Social Networking
/ Social networks
/ Social organization
/ Socioeconomics
2023
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Do you wish to request the book?
The anatomy of a population-scale social network
by
Takes, Frank W.
, Bokányi, Eszter
, Heemskerk, Eelke M.
in
639/766/530/2801
/ 704/844/2787
/ Communication
/ Connectivity
/ Education
/ Family Characteristics
/ Humanities and Social Sciences
/ Humans
/ multidisciplinary
/ Population
/ Science
/ Science (multidisciplinary)
/ Social Class
/ Social conditions
/ Social Media
/ Social network analysis
/ Social Networking
/ Social networks
/ Social organization
/ Socioeconomics
2023
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Journal Article
The anatomy of a population-scale social network
2023
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Overview
Large-scale human social network structure is typically inferred from digital trace samples of online social media platforms or mobile communication data. Instead, here we investigate the social network structure of a complete population, where people are connected by high-quality links sourced from administrative registers of family, household, work, school, and next-door neighbors. We examine this multilayer social opportunity structure through three common concepts in network analysis: degree, closure, and distance. Findings present how particular network layers contribute to presumably universal scale-free and small-world properties of networks. Furthermore, we suggest a novel measure of excess closure and apply this in a life-course perspective to show how the social opportunity structure of individuals varies along age, socio-economic status, and education level.
Publisher
Nature Publishing Group UK,Nature Publishing Group,Nature Portfolio
Subject
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