Physics – Physics and Society
Scientific paper
2005-10-14
Phys. Rev. E 73, 026120 (2006)
Physics
Physics and Society
Scientific paper
10.1103/PhysRevE.73.026120
We consider methods for quantifying the similarity of vertices in networks. We propose a measure of similarity based on the concept that two vertices are similar if their immediate neighbors in the network are themselves similar. This leads to a self-consistent matrix formulation of similarity that can be evaluated iteratively using only a knowledge of the adjacency matrix of the network. We test our similarity measure on computer-generated networks for which the expected results are known, and on a number of real-world networks.
Holme Petter
Leicht Elizabeth A.
Newman M. E. J.
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