Spectral centrality measures in complex networks

Physics – Physics and Society

Scientific paper

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11 pages, 10 figures, 5 tables. Final version published in Physical Review E

Scientific paper

10.1103/PhysRevE.78.036107

Complex networks are characterized by heterogeneous distributions of the degree of nodes, which produce a large diversification of the roles of the nodes within the network. Several centrality measures have been introduced to rank nodes based on their topological importance within a graph. Here we review and compare centrality measures based on spectral properties of graph matrices. We shall focus on PageRank, eigenvector centrality and the hub/authority scores of HITS. We derive simple relations between the measures and the (in)degree of the nodes, in some limits. We also compare the rankings obtained with different centrality measures.

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