Computer Science – Information Retrieval
Scientific paper
2010-02-17
Phys. Rev. E 81, 056109 (2010)
Computer Science
Information Retrieval
8 pages, 12 figures, research done at http://www.quantware.ups-tlse.fr
Scientific paper
10.1103/PhysRevE.81.056109
We study numerically the spectrum and eigenstate properties of the Google matrix of various examples of directed networks such as vocabulary networks of dictionaries and university World Wide Web networks. The spectra have gapless structure in the vicinity of the maximal eigenvalue for Google damping parameter $\alpha$ equal to unity. The vocabulary networks have relatively homogeneous spectral density, while university networks have pronounced spectral structures which change from one university to another, reflecting specific properties of the networks. We also determine specific properties of eigenstates of the Google matrix, including the PageRank. The fidelity of the PageRank is proposed as a new characterization of its stability.
Georgeot Bertrand
Giraud Olivier
Shepelyansky Dima L.
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