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The structure of online social networks mirrors those in the offline world

Abstract:

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
Version:
Accepted manuscript

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Publisher copy:
10.1016/j.socnet.2015.04.005

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Institution:
University of Oxford
Department:
Oxford, MSD, Experimental Psychology
Role:
Author
Publisher:
Elsevier Publisher's website
Journal:
Social Networks Journal website
Volume:
43
Pages:
39-47
Chapter number:
C
Publication date:
2015-05-05
DOI:
ISSN:
0378-8733
URN:
uuid:bea66918-1023-4e17-88d2-b66e1ce71f24
Source identifiers:
524828
Local pid:
pubs:524828

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