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Journal article

Calling Dunbar's numbers

Abstract:
The social brain hypothesis predicts that humans have an average of about 150 relationships at any given time. Within this 150, there are layers of friends of an ego, where the number of friends in a layer increases as the emotional closeness decreases. Here we analyse a mobile phone dataset, firstly, to ascertain whether layers of friends can be identified based on call frequency. We then apply different clustering algorithms to break the call frequency of egos into clusters and compare the number of alters in each cluster with the layer size predicted by the social brain hypothesis. In this dataset we find strong evidence for the existence of a layered structure. The clustering yields results that match well with previous studies for the innermost and outermost layers, but for layers in between we observe large variability.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1016/j.socnet.2016.06.003

Authors

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Institution:
University of Oxford
Division:
MSD
Department:
Experimental Psychology
Role:
Author
More by this author
Institution:
University of Oxford
Division:
SSD
Department:
Said Business School
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Experimental Psychology
Role:
Author


More from this funder
Funder identifier:
https://ror.org/0472cxd90
Funding agency for:
Mac Carron, P
Dunbar, R
Grant:
295663
295663
More from this funder
Funder identifier:
https://ror.org/05k73zm37
Funding agency for:
Kaski, K
Grant:
276439


Publisher:
Elsevier
Journal:
Social Networks More from this journal
Volume:
47
Pages:
151-155
Publication date:
2016-07-16
Acceptance date:
2016-06-09
DOI:
ISSN:
0378-8733


Language:
English
Keywords:
Pubs id:
pubs:634861
UUID:
uuid:a94d707c-b9c7-4e6c-a9af-3aa18a2e3842
Local pid:
pubs:634861
Source identifiers:
634861
Deposit date:
2016-08-04
ARK identifier:

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