Search in weighted complex networks.
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.
Department of Industrial Engineering, The Pennsylvania State University, University Park, Pennsylvania 16802, USA.
Hari P
HP
Thadakamalla
R
R
Albert
S R T
SR
Kumara