Journal article
The structure of online social networks mirrors those in the offline world
- Abstract:
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We use data on frequencies of bi-directional posts to define edges (or relationships) in two Facebook datasets and a Twitter dataset and use these to create ego-centric social networks. We explore the internal structure of these networks to determine whether they have the same kind of layered structure as has been found in offline face-to-face networks (which have a distinctively scaled structure with successively inclusive layers at 5, 15, 50 and 150 alters). The two Facebook datasets are be...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
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(Accepted manuscript, pdf, 262.7KB)
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- Publisher copy:
- 10.1016/j.socnet.2015.04.005
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Authors
Funding
Bibliographic Details
- Publisher:
- Elsevier Publisher's website
- Journal:
- Social Networks Journal website
- Volume:
- 43
- Pages:
- 39-47
- Publication date:
- 2015-05-01
- DOI:
- ISSN:
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0378-8733
- Source identifiers:
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524828
Item Description
- Keywords:
- Pubs id:
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pubs:524828
- UUID:
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uuid:bea66918-1023-4e17-88d2-b66e1ce71f24
- Local pid:
- pubs:524828
- Deposit date:
- 2016-03-14
Terms of use
- Copyright holder:
- Dunbar et al
- Copyright date:
- 2015
- Notes:
- Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
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