Efficiency of informational transfer in regular and complex networks

Details Efficiency of informational transfer in regular and complex networks Efficiency of informational transfer in regular and complex networks

2004-10-07

arxiv.org/abs/cond-mat/0410174v2

Physics

Condensed Matter

Disordered Systems and Neural Networks

10 pages and 9 figures

Scientific paper

10.1103/PhysRevE.71.036122

We analyze the process of informational exchange through complex networks by measuring network efficiencies. Aiming to study non-clustered systems, we propose a modification of this measure on the local level. We apply this method to an extension of the class of small-worlds that includes {\it declustered} networks, and show that they are locally quite efficient, although their clustering coefficient is practically zero. Unweighted systems with small-world and scale-free topologies are shown to be both globally and locally efficient. Our method is also applied to characterize weighted networks. In particular we examine the properties of underground transportation systems of Madrid and Barcelona and reinterpret the results obtained for the Boston subway network.

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