Scale free networks from a Hamiltonian dynamics

dc.creatorBaiesi, M.
dc.creatorManna, S. S.
dc.date2003-05-03
dc.date2003-07-09
dc.date.accessioned2026-07-07T02:51:09Z
dc.date.available2026-07-07T02:51:09Z
dc.descriptionContrary to many recent models of growing networks, we present a model with fixed number of nodes and links, where it is introduced a dynamics favoring the formation of links between nodes with degree of connectivity as different as possible. By applying a local rewiring move, the network reaches equilibrium states assuming broad degree distributions, which have a power law form in an intermediate range of the parameters used. Interestingly, in the same range we find non-trivial hierarchical clustering.
dc.description4 pages, revtex4, 5 figures. v2: corrected statements about equilibrium
dc.identifierhttps://arxiv.org/abs/cond-mat/0305054
dc.identifierhttp://arxiv.org/abs/cond-mat/0305054
dc.identifierPhys. Rev. E 68, 047103 (2003)
dc.identifierdoi:10.1103/PhysRevE.68.047103
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/21349
dc.subjectStatistical Mechanics
dc.subjectAdaptation and Self-Organizing Systems
dc.titleScale free networks from a Hamiltonian dynamics
dc.typetext

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