Modeling self-organization of communication and topology in social networks

dc.creatorRosvall, M.
dc.creatorSneppen, K.
dc.date2005-12-12
dc.date.accessioned2026-07-07T06:56:13Z
dc.date.available2026-07-07T06:56:13Z
dc.descriptionThis paper introduces a model of self-organization between communication and topology in social networks, with a feedback between different communication habits and the topology. To study this feedback, we let agents communicate to build a perception of a network and use this information to create strategic links. We observe a narrow distribution of links when the communication is low and a system with a broad distribution of links when the communication is high. We also analyze the outcome of chatting, cheating, and lying, as strategies to get better access to information in the network. Chatting, although only adopted by a few agents, gives a global gain in the system. Contrary, a global loss is inevitable in a system with too many liars
dc.description6 pages 7 figures, Java simulation available at http://cmol.nbi.dk/models/inforew/inforew.html
dc.identifierhttps://arxiv.org/abs/physics/0512105
dc.identifierhttp://arxiv.org/abs/physics/0512105
dc.identifierPhys. Rev. E 74, 016108 (2006).
dc.identifierdoi:10.1103/PhysRevE.74.016108
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/106550
dc.subjectPhysics and Society
dc.subjectDisordered Systems and Neural Networks
dc.titleModeling self-organization of communication and topology in social networks
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