Cognitive resource allocation determines the organization of personal networks

 |  Login

Show simple item record

dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.author Tamarit, Ignacio
dc.contributor.author Cuesta, José A.
dc.contributor.author Dunbar, Robin I.M.
dc.contributor.author Sánchez, Angel
dc.date.accessioned 2018-10-16T08:55:50Z
dc.date.available 2018-10-16T08:55:50Z
dc.date.issued 2018-08-14
dc.identifier.citation Tamarit , I , Cuesta , J A , Dunbar , R I M & Sánchez , A 2018 , ' Cognitive resource allocation determines the organization of personal networks ' Proceedings of the National Academy of Sciences of the United States of America , vol 115 , no. 33 , pp. 8316-8321 . DOI: 10.1073/pnas.1719233115 en
dc.identifier.issn 0027-8424
dc.identifier.issn 1091-6490
dc.identifier.other PURE UUID: 99fb923b-fcf7-4bdf-a200-8df3624f474a
dc.identifier.other PURE ITEMURL: https://research.aalto.fi/en/publications/cognitive-resource-allocation-determines-the-organization-of-personal-networks(99fb923b-fcf7-4bdf-a200-8df3624f474a).html
dc.identifier.other PURE LINK: http://www.scopus.com/inward/record.url?scp=85052729496&partnerID=8YFLogxK
dc.identifier.other PURE FILEURL: https://research.aalto.fi/files/28318408/8316.full.pdf
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/34304
dc.description.abstract The typical human personal social network contains about 150 relationships including kin, friends, and acquaintances, organized into a set of hierarchically inclusive layers of increasing size but decreasing emotional intensity. Data from a number of different sources reveal that these inclusive layers exhibit a constant scaling ratio of ~3. While the overall size of the networks has been connected to our cognitive capacity, no mechanism explaining why the networks present a layered structure with a consistent scaling has been proposed. Here we show that the existence of a heterogeneous cost to relationships (in terms of time or cognitive investment), together with a limitation in the total capacity an individual has to invest in them, can naturally explain the existence of layers and, when the cost function is linear, explain the scaling between them. We develop a one-parameter Bayesian model that fits the empirical data remarkably well. In addition, the model predicts the existence of a contrasting regime in the case of small communities, such that the layers have an inverted structure (increasing size with increasing emotional intensity). We test the model with five communities and provide clear evidence of the existence of the two predicted regimes. Our model explains, based on first principles, the emergence of structure in the organization of personal networks and allows us to predict a rare phenomenon whose existence we confirm empirically. en
dc.format.extent 6
dc.format.extent 8316-8321
dc.format.mimetype application/pdf
dc.language.iso en en
dc.relation.ispartofseries Proceedings of the National Academy of Sciences of the United States of America en
dc.relation.ispartofseries Volume 115, issue 33 en
dc.rights openAccess en
dc.subject.other General en
dc.subject.other 113 Computer and information sciences en
dc.title Cognitive resource allocation determines the organization of personal networks en
dc.type A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä fi
dc.description.version Peer reviewed en
dc.contributor.department Universidad Carlos III de Madrid
dc.contributor.department Department of Computer Science
dc.subject.keyword Complex systems
dc.subject.keyword Personal networks
dc.subject.keyword Quantitative sociology
dc.subject.keyword General
dc.subject.keyword 113 Computer and information sciences
dc.identifier.urn URN:NBN:fi:aalto-201810165381
dc.identifier.doi 10.1073/pnas.1719233115
dc.type.version publishedVersion


Files in this item

Files Size Format View

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record

Search archive


Advanced Search

article-iconSubmit a publication

Browse

My Account