Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2004-06-08
Phys.Rev. E 71, 016107(2005)
Physics
Condensed Matter
Disordered Systems and Neural Networks
5 pages, 5 figures
Scientific paper
10.1103/PhysRevE.71.016107
We carry out a comparative study on the problem for a walker searching on several typical complex networks. The search efficiency is evaluated for various strategies. Having no knowledge of the global properties of the underlying networks and the optimal path between any two given nodes, it is found that the best search strategy is the self-avoid random walk. The preferentially self-avoid random walk does not help in improving the search efficiency further. In return, topological information of the underlying networks may be drawn by comparing the results of the different search strategies.
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