Calling Dunbar's numbers

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Calling Dunbar's numbers. / Mac Carron, P.; Kaski, K.; Dunbar, R.

In: SOCIAL NETWORKS, Vol. 47, 01.10.2016, p. 151-155.

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Mac Carron, P. ; Kaski, K. ; Dunbar, R. / Calling Dunbar's numbers. In: SOCIAL NETWORKS. 2016 ; Vol. 47. pp. 151-155.

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@article{791e23fdcfdd47418760979238cca08b,
title = "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.",
keywords = "Brain, Communication, Ego, Hypothesis, Networks, Social",
author = "{Mac Carron}, P. and K. Kaski and R. Dunbar",
year = "2016",
month = "10",
day = "1",
doi = "10.1016/j.socnet.2016.06.003",
language = "English",
volume = "47",
pages = "151--155",
journal = "SOCIAL NETWORKS",
issn = "0378-8733",
publisher = "Elsevier BV",

}

RIS - Download

TY - JOUR

T1 - Calling Dunbar's numbers

AU - Mac Carron, P.

AU - Kaski, K.

AU - Dunbar, R.

PY - 2016/10/1

Y1 - 2016/10/1

N2 - 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.

AB - 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.

KW - Brain

KW - Communication

KW - Ego

KW - Hypothesis

KW - Networks

KW - Social

UR - http://www.scopus.com/inward/record.url?scp=84978199945&partnerID=8YFLogxK

U2 - 10.1016/j.socnet.2016.06.003

DO - 10.1016/j.socnet.2016.06.003

M3 - Article

VL - 47

SP - 151

EP - 155

JO - SOCIAL NETWORKS

JF - SOCIAL NETWORKS

SN - 0378-8733

ER -

ID: 6675897