Lobby index as a network centrality measure

We study the lobby index ( l for short) as a local node centrality measure for complex networks. The l is compared with degree (a local measure), be-tweenness and Eigenvector centralities (two global measures) in the case of a biological network (Yeast interaction protein-protein network) and a linguis-tic network (Moby Thesaurus II). In both networks, the l has poor correlation with betweenness but correlates with degree and Eigenvector centralities. Al-though being local, the l carries more information about its neighbors than degree centrality. Also, it requires much less time to compute when com-pared with Eigenvector centrality. Results show that the l produces better results than degree and Eigenvector centrality for ranking purposes