Calling Dunbar's numbers

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, firstl...

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Main Authors: Mac Carron, P, Kaski, K, Dunbar, R
Format: Journal article
Published: Elsevier 2016
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author Mac Carron, P
Kaski, K
Dunbar, R
author_facet Mac Carron, P
Kaski, K
Dunbar, R
author_sort Mac Carron, P
collection OXFORD
description 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.
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spelling oxford-uuid:a94d707c-b9c7-4e6c-a9af-3aa18a2e38422022-03-27T03:07:34ZCalling Dunbar's numbersJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:a94d707c-b9c7-4e6c-a9af-3aa18a2e3842Symplectic Elements at OxfordElsevier2016Mac Carron, PKaski, KDunbar, RThe 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.
spellingShingle Mac Carron, P
Kaski, K
Dunbar, R
Calling Dunbar's numbers
title Calling Dunbar's numbers
title_full Calling Dunbar's numbers
title_fullStr Calling Dunbar's numbers
title_full_unstemmed Calling Dunbar's numbers
title_short Calling Dunbar's numbers
title_sort calling dunbar s numbers
work_keys_str_mv AT maccarronp callingdunbarsnumbers
AT kaskik callingdunbarsnumbers
AT dunbarr callingdunbarsnumbers