Computer Science – Information Retrieval
Scientific paper
2009-03-30
Phys. Rev. E 80, 026107 (2009)
Computer Science
Information Retrieval
4 pages, 5 figures. Research done at http://www.quantware.ups-tlse.fr/
Scientific paper
10.1103/PhysRevE.80.026107
We study the localization properties of eigenvectors of the Google matrix, generated both from the World Wide Web and from the Albert-Barabasi model of networks. We establish the emergence of a delocalization phase for the PageRank vector when network parameters are changed. In the phase of localized PageRank, a delocalization takes place in the complex plane of eigenvalues of the matrix, leading to delocalized relaxation modes. We argue that the efficiency of information retrieval by Google-type search is strongly affected in the phase of delocalized PageRank.
Georgeot Bertrand
Giraud Olivier
Shepelyansky Dima L.
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