%L eprints643
%D 2007
%X We study the betweenness centrality of fractal and nonfractal scale-free network models as well as real networks. We show that the correlation between degree and betweenness centrality C of nodes is much weaker in fractal network models compared to nonfractal models. We also show that nodes of both fractal and nonfractal scale-free networks have power-law betweenness centrality distribution P(C)?C??. We find that for nonfractal scale-free networks ?=2, and for fractal scale-free networks ?=2?1?dB, where dB is the dimension of the fractal network. We support these results by explicit calculations on four real networks: pharmaceutical firms (N=6776), yeast (N=1458), WWW (N=2526), and a sample of Internet network at the autonomous system level (N=20566), where N is the number of nodes in the largest connected component of a network. We also study the crossover phenomenon from fractal to nonfractal networks upon adding random edges to a fractal network. We show that the crossover length ?*, separating fractal and nonfractal regimes, scales with dimension dB of the network as p?1?dB, where p is the density of random edges added to the network. We find that the correlation between degree and betweenness centrality increases with p.
%K PACS: 89.75.Hc

%A Maksim Kitsak
%A Shlomo Havlin
%A Gerald Paul
%A Massimo Riccaboni
%A Fabio Pammolli
%A H. Eugene Stanley
%R 10.1103/PhysRevE.75.056115
%J Physical Review E
%N 5
%T Betweenness centrality of fractal and nonfractal scale-free model networks and tests on real networks
%P 056115
%I American Physical Society
%V 75
%O ? 2007 The American Physical Society