Search in weighted complex networks

Physics – Condensed Matter – Statistical Mechanics

Scientific paper

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14 pages, 5 figures, 4 tables, minor changes, added a reference

Scientific paper

10.1103/PhysRevE.72.066128

We study trade-offs presented by local search algorithms in complex networks which are heterogeneous in edge weights and node degree. We show that search based on a network measure, local betweenness centrality (LBC), utilizes the heterogeneity of both node degrees and edge weights to perform the best in scale-free weighted networks. The search based on LBC is universal and performs well in a large class of complex networks.

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