Published in
Public Library of Science, PLoS ONE, 4(7), p. e34760, 2012
DOI: 10.1371/journal.pone.0034760
SSRN Electronic Journal
DOI: 10.2139/ssrn.1935817
Links
- ORCID
- Public Library of Science
- Crossref
- [www.ncbi.nlm.nih.gov] | PDF
- [repository.uvt.nl] | PDF
- [europepmc.org] | PDF
- [www.researchgate.net]
- [www.ncbi.nlm.nih.gov] | PDF
- [citeseerx.ist.psu.edu] | PDF
- [pure.uvt.nl] | PDF
- [www.ncbi.nlm.nih.gov] | PDF
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Composition and Structure of a Large Online Social Network in the Netherlands
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Abstract
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.