Emergence and resilience of social networks: a general theoretical framework

Simple item page
dc.creatorEhrhardt, George C. M. A.
dc.creatorMarsili, Matteo
dc.creatorVega-Redondo, Fernando
dc.date2005-04-18
dc.date.accessioned2026-07-07T05:54:40Z
dc.date.available2026-07-07T05:54:40Z
dc.descriptionWe introduce and study a general model of social network formation and evolution based on the concept of preferential link formation between similar nodes and increased similarity between connected nodes. The model is studied numerically and analytically for three definitions of similarity. In common with real-world social networks, we find coexistence of high and low connectivity phases and history dependence. We suggest that the positive feedback between linking and similarity which is responsible for the model's behaviour is also an important mechanism in real social networks.
dc.description6 pages, 3 figures
dc.identifierhttps://arxiv.org/abs/physics/0504124
dc.identifierhttp://arxiv.org/abs/physics/0504124
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/87042
dc.subjectPhysics and Society
dc.subjectStatistical Mechanics
dc.titleEmergence and resilience of social networks: a general theoretical framework
dc.typetext

Files

Collections

arXiv