2013/04/30 by Monica G. Campiteli, Adriano J. Holanda, Leonardo D. H. Soares +2
Computer Science · Physics and Astronomy · #cs.DL #cs.SI #physics.soc-ph
paper · pdf · doi:10.1016/j.physa.2013.06.065
11 pages, 4 figures. arXiv admin note: substantial text overlap with arXiv:1005.4803
arxiv created 2013/06/26 · arxiv updated 2015/06/15
We study the lobby index (l-index for short) as a local node centrality measure for complex networks. The l-inde is compared with degree (a local measure), betweenness and Eigenvector centralities (two global measures) in the case of biological network (Yeast interaction protein-protein network) and a linguistic network (Moby Thesaurus II). In both networks, the l-index has poor correlation with betweenness but correlates with degree and Eigenvector. Being a local measure, one can take advantage by using the l-index because it carries more information about its neighbors when compared with degree centrality, indeed it requires less time to compute when compared with Eigenvector centrality. Results suggests that l-index produces better results than degree and Eigenvector measures for ranking purposes, becoming suitable as a tool to perform this task.