Calling Dunbar's numbers
Tutkimustuotos: Lehtiartikkeli › › vertaisarvioitu
Standard
Calling Dunbar's numbers. / Mac Carron, P.; Kaski, K.; Dunbar, R.
julkaisussa: SOCIAL NETWORKS, Vuosikerta 47, 01.10.2016, s. 151-155.Tutkimustuotos: Lehtiartikkeli › › vertaisarvioitu
Harvard
APA
Vancouver
Author
Bibtex - Lataa
}
RIS - Lataa
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
