Cognitive resource allocation determines the organization of personal networks

Tamarit, Ignacio; Cuesta, José A.; Dunbar, Robin I. M.; Sánchez, Angel

Publication:
Cognitive resource allocation determines the organization of personal networks

dc.affiliation.dpto	UC3M. Departamento de Matemáticas	es
dc.affiliation.grupoinv	UC3M. Grupo de Investigación: Interdisciplinar de Sistemas Complejos (GISC)	es
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	2020-03-04T09:54:35Z
dc.date.available	2020-03-04T09:54:35Z
dc.date.issued	2020-03-04
dc.description	[Póster presentado a]: XXII Congreso de Física Estadística (FisEs'18), Madrid, 18-20 de octubre de 2018.	es
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	1	es
dc.identifier.bibliographicCitation	Arranz, F.J., (ed.) XXII Congreso de Física Estadística (FisEs'18), Madrid 18-20 de octubre de 2018: libro de resúmenes = book of abstracts. Madrid, 2018, p. 25.	es
dc.identifier.publicationfirstpage	25
dc.identifier.publicationlastpage	25
dc.identifier.publicationtitle	XXII Congreso de Física Estadística (FisEs'18), Madrid 18-20 de octubre de 2018: libro de resúmenes = book of abstracts	es
dc.identifier.uri	https://hdl.handle.net/10016/29827
dc.identifier.uxxi	CC/0000029081
dc.language.iso	eng	en
dc.relation.eventdate	18-20, octubre 2018	es
dc.relation.eventplace	Madrid	es
dc.relation.eventtitle	XXII Congreso de Física Estadística (FisEs'18)	es
dc.relation.ispartof	http://hdl.handle.net/10016/27268
dc.relation.publisherversion	https://fises18.gefenol.es/media/uploads/editor/2018/11/06/libro_de_resumenes-fises18.pdf	es
dc.rights	(cc) 2018 Publicado bajo licencia CC BY 4.0/Published under CC BY 4.0 license.	es
dc.rights	Atribución-NoComercial-SinDerivadas 3.0 España	*
dc.rights.accessRights	open access	en
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/es/	*
dc.subject.eciencia	Estadística	es
dc.subject.eciencia	Física	es
dc.subject.other	Quantitative sociology	en
dc.subject.other	Personal networks	en
dc.subject.other	Complex systems	en
dc.title	Cognitive resource allocation determines the organization of personal networks	en
dc.type	conference proceedings	*
dc.type.hasVersion	VoR	*
dspace.entity.type	Publication