Knowing a network by walking on it: emergence of scaling

dc.creatorVazquez, Alexei
dc.date2000-06-08
dc.date2000-09-07
dc.date.accessioned2026-07-07T02:37:52Z
dc.date.available2026-07-07T02:37:52Z
dc.descriptionA model for growing networks is introduced, having as a main ingredient that new nodes are attached to the network through one existing node and then explore the network through the links of the visited nodes. From exact calculations of two limiting cases and numerical simulations the phase diagram of the model is obtained. In the stationary limit, large network sizes, a phase transition from a network with finite average connectivity to a network with a power law distribution of connectivities, with no finite average, is found. Results are compared with measurements on real networks.
dc.descriptionRevTex, 4 pages, 3 ps figs, new exact calculations and more numerical results
dc.identifierhttps://arxiv.org/abs/cond-mat/0006132
dc.identifierhttp://arxiv.org/abs/cond-mat/0006132
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/16456
dc.subjectStatistical Mechanics
dc.subjectDisordered Systems and Neural Networks
dc.titleKnowing a network by walking on it: emergence of scaling
dc.typetext

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