Centrality Estimation in Large Networks

Centrality indices are an essential concept in network analysis. For those based on shortest-path distances the computation is at least quadratic in the number of nodes, since it usually involves solving the single-source shortest-paths (SSSP) problem from every node. Therefore, exact computation is infeasible for many large networks of interest today. Centrality scores can be estimated, however, from a limited number of SSSP computations. We present results from an experimental study of the quality of such estimates under various selection strategies for the source vertices. ∗Research supported in part by DFG under grant Br 2158/2-3 1 

• Type: Journal
• Year: 2007
• Where: IJBC
• Authors: Ulrik Brandes, Christian Pich
• Keywords: Centrality Indices, Computations, Essential Concept, IJBC 2007