Spreading on a complex network avoiding certain motifs

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dc.creatorAlarcon, Tomas
dc.creatorJensen, Henrik Jeldtoft
dc.date2009-03-06
dc.date.accessioned2026-07-07T12:49:52Z
dc.date.available2026-07-07T12:49:52Z
dc.descriptionSpreading of either information or matter can often be treated as a network problem. It can be of great importance to be able to estimate the likelihood that spreading through a network reaches essentially the entire network while still not reaching certain sub-classes of the network. We show that excluding nodes and edges from the network has a subtle effect on the percolation. We study two specific examples of degree distributions (exponential and scale free) for which analytical solutions can be obtained. The two cases exhibit qualitatively different behavior.
dc.description4 pages, 3 figures
dc.identifierhttps://arxiv.org/abs/0903.1199
dc.identifierhttp://arxiv.org/abs/0903.1199
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/222521
dc.subjectDisordered Systems and Neural Networks
dc.subjectStatistical Mechanics
dc.titleSpreading on a complex network avoiding certain motifs
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