Structure of a large social network.

We study a social network consisting of over 10(4) individuals, with a degree distribution exhibiting two power scaling regimes separated by a critical degree k(crit), and a power law relation between degree and local clustering. We introduce a growing random model based on a local interaction mecha...

תיאור מלא

מידע ביבליוגרפי
Main Authors: Csányi, G, Szendroi, B
פורמט: Journal article
שפה:English
יצא לאור: 2004
_version_ 1826275227291615232
author Csányi, G
Szendroi, B
author_facet Csányi, G
Szendroi, B
author_sort Csányi, G
collection OXFORD
description We study a social network consisting of over 10(4) individuals, with a degree distribution exhibiting two power scaling regimes separated by a critical degree k(crit), and a power law relation between degree and local clustering. We introduce a growing random model based on a local interaction mechanism that reproduces the observed scaling features and their exponents. We suggest that the double power law originates from two very different kinds of networks that are simultaneously present in the human social network.
first_indexed 2024-03-06T22:55:30Z
format Journal article
id oxford-uuid:6038363b-3db7-4f90-b6fb-e1c0a41de08f
institution University of Oxford
language English
last_indexed 2024-03-06T22:55:30Z
publishDate 2004
record_format dspace
spelling oxford-uuid:6038363b-3db7-4f90-b6fb-e1c0a41de08f2022-03-26T17:52:02ZStructure of a large social network.Journal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:6038363b-3db7-4f90-b6fb-e1c0a41de08fEnglishSymplectic Elements at Oxford2004Csányi, GSzendroi, BWe study a social network consisting of over 10(4) individuals, with a degree distribution exhibiting two power scaling regimes separated by a critical degree k(crit), and a power law relation between degree and local clustering. We introduce a growing random model based on a local interaction mechanism that reproduces the observed scaling features and their exponents. We suggest that the double power law originates from two very different kinds of networks that are simultaneously present in the human social network.
spellingShingle Csányi, G
Szendroi, B
Structure of a large social network.
title Structure of a large social network.
title_full Structure of a large social network.
title_fullStr Structure of a large social network.
title_full_unstemmed Structure of a large social network.
title_short Structure of a large social network.
title_sort structure of a large social network
work_keys_str_mv AT csanyig structureofalargesocialnetwork
AT szendroib structureofalargesocialnetwork