Identifying Complex Networks by Random Walks

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dc.creatorSilva, Filipi Nascimento
dc.creatorCosta, Luciano da Fontoura
dc.date2006-12-13
dc.date.accessioned2026-07-07T07:35:01Z
dc.date.available2026-07-07T07:35:01Z
dc.descriptionThe possibility to identify the nature (e.g. random or scale free) of complex networks while performing respective random walks is investigated with respect to autonomous agents based on Bayesian decision theory and humans navigating through a graphic-interactive interface. The results indicate that the type of the network (choice between random and scale free models) can be correctly estimated in most cases.
dc.description7 pages, 9 figures. A working manuscript, suggestions welcomed
dc.identifierhttps://arxiv.org/abs/physics/0612121
dc.identifierhttp://arxiv.org/abs/physics/0612121
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/119967
dc.subjectComputational Physics
dc.subjectDisordered Systems and Neural Networks
dc.titleIdentifying Complex Networks by Random Walks
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