Identifying Complex Networks by Random Walks

Physics – Computational Physics

Scientific paper

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

Scientific paper

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.

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