Identifying Complex Networks by Random Walks

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The 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.
7 pages, 9 figures. A working manuscript, suggestions welcomed

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Computational Physics, Disordered Systems and Neural Networks

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http://salesiana.dossiersoluciones.com/handle/123456789/119967

Consulte el texto completo en el siguiente enlace:

https://arxiv.org/abs/physics/0612121
 http://arxiv.org/abs/physics/0612121

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arXiv