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Search in weighted complex networks

Hari P. Thadakamalla·Reka Albert·Soundar R. T. Kumara
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Abstract

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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BibTeXRIS

Hari P. Thadakamalla, Reka Albert, Soundar R. T. Kumara. 2006-01-20. Search in weighted complex networks. https://doi.org/10.1103/physreve.72.066128

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