The Rise and Fall of a Networked Society

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dc.creatorMarsili, Matteo
dc.creatorVega-Redondo, Fernando
dc.creatorSlanina, Frantisek
dc.date2003-07-14
dc.date.accessioned2026-07-07T02:52:20Z
dc.date.available2026-07-07T02:52:20Z
dc.descriptionWe propose a simple model of the evolution of a social network which involves local search and volatility (random decay of links). The model captures the crucial role the network plays for information diffusion. This is responsible for a feedback loop which results in a first-order phase transition between a very sparse network regime and a highly-connected phase. Phase coexistence and hysteresis take place for intermediate value of parameters. We derive a mean-field theory which correctly reproduces this behavior, including the distribution of degree connectivity and the non-trivial clustering properties.
dc.description5 pages 2 figures
dc.identifierhttps://arxiv.org/abs/cond-mat/0307321
dc.identifierhttp://arxiv.org/abs/cond-mat/0307321
dc.identifierPNAS | February 10, 2004 | vol. 101 | no. 6 | 1439-1442
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/21804
dc.subjectStatistical Mechanics
dc.subjectDisordered Systems and Neural Networks
dc.titleThe Rise and Fall of a Networked Society
dc.typetext

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