Identifying Complex Networks by Random Walks
Filipi N. Silva, Luciano da Fontoura Costa · arXiv (Cornell University) · 2006
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.