Gossip in random networks

dc.creatorMalarz, K.
dc.creatorSzvetelszky, Z.
dc.creatorSzekfu, B.
dc.creatorKulakowski, K.
dc.date2006-01-20
dc.date2006-08-10
dc.date.accessioned2026-07-07T06:59:56Z
dc.date.available2026-07-07T06:59:56Z
dc.descriptionWe consider the average probability X of being informed on a gossip in a given social network. The network is modeled within the random graph theory of Erdos and Renyi. In this theory, a network is characterized by two parameters: the size N and the link probability p. Our experimental data suggest three levels of social inclusion of friendship. The critical value p_c, for which half of agents are informed, scales with the system size as N^{-γ} with γ\approx 0.68. Computer simulations show that the probability X varies with p as a sigmoidal curve. Influence of the correlations between neighbors is also evaluated: with increasing clustering coefficient C, X decreases.
dc.description10 pages, 3 figures in 4 eps files, for the 2nd Polish Seminar on Econo- and Sociophysics, 2006/04/21-22 Cracow, to be published in Acta Phys. Pol. B
dc.identifierhttps://arxiv.org/abs/physics/0601158
dc.identifierhttp://arxiv.org/abs/physics/0601158
dc.identifierActa Phys. Pol. B37 (2006) 3049
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/107926
dc.subjectPhysics and Society
dc.titleGossip in random networks
dc.typetext

Files

Collections