Composition and structure of a large online social network in The Netherlands.

Limitations in data collection have long been an obstacle in research on friendship networks. Most earlier studies use either a sample of ego-networks, or complete network data on a relatively small group (e.g., a single organization). The rise of online social networking services such as Friendster...

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Autor principal: Rense Corten
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Lenguaje:EN
Publicado: Public Library of Science (PLoS) 2012
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Acceso en línea:https://doaj.org/article/672754dd0433478f857cc551e03319f1
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spelling oai:doaj.org-article:672754dd0433478f857cc551e03319f12021-11-18T07:22:05ZComposition and structure of a large online social network in The Netherlands.1932-620310.1371/journal.pone.0034760https://doaj.org/article/672754dd0433478f857cc551e03319f12012-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/22523557/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203Limitations in data collection have long been an obstacle in research on friendship networks. Most earlier studies use either a sample of ego-networks, or complete network data on a relatively small group (e.g., a single organization). The rise of online social networking services such as Friendster and Facebook, however, provides researchers with opportunities to study friendship networks on a much larger scale. This study uses complete network data from Hyves, a popular online social networking service in The Netherlands, comprising over eight million members and over 400 million online friendship relations. In the first study of its kind for The Netherlands, I examine the structure of this network in terms of the degree distribution, characteristic path length, clustering, and degree assortativity. Results indicate that this network shares features of other large complex networks, but also deviates in other respects. In addition, a comparison with other online social networks shows that these networks show remarkable similarities.Rense CortenPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 7, Iss 4, p e34760 (2012)
institution DOAJ
collection DOAJ
language EN
topic Medicine
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Science
Q
spellingShingle Medicine
R
Science
Q
Rense Corten
Composition and structure of a large online social network in The Netherlands.
description Limitations in data collection have long been an obstacle in research on friendship networks. Most earlier studies use either a sample of ego-networks, or complete network data on a relatively small group (e.g., a single organization). The rise of online social networking services such as Friendster and Facebook, however, provides researchers with opportunities to study friendship networks on a much larger scale. This study uses complete network data from Hyves, a popular online social networking service in The Netherlands, comprising over eight million members and over 400 million online friendship relations. In the first study of its kind for The Netherlands, I examine the structure of this network in terms of the degree distribution, characteristic path length, clustering, and degree assortativity. Results indicate that this network shares features of other large complex networks, but also deviates in other respects. In addition, a comparison with other online social networks shows that these networks show remarkable similarities.
format article
author Rense Corten
author_facet Rense Corten
author_sort Rense Corten
title Composition and structure of a large online social network in The Netherlands.
title_short Composition and structure of a large online social network in The Netherlands.
title_full Composition and structure of a large online social network in The Netherlands.
title_fullStr Composition and structure of a large online social network in The Netherlands.
title_full_unstemmed Composition and structure of a large online social network in The Netherlands.
title_sort composition and structure of a large online social network in the netherlands.
publisher Public Library of Science (PLoS)
publishDate 2012
url https://doaj.org/article/672754dd0433478f857cc551e03319f1
work_keys_str_mv AT rensecorten compositionandstructureofalargeonlinesocialnetworkinthenetherlands
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