Title
Random Walks On Directed Networks: The Case Of Pagerank
Abstract
PageRank, the prestige measure for Web pages used by Google, is the stationary probability of a peculiar random walk on directed graphs, which interpolates between a pure random walk and a process where all nodes have the same probability of being visited. We give some exact results on the distribution of PageRank in the cases in which the damping factor q approaches the two limit values 0 and 1. When q -> 0 and for several classes of graphs the distribution is a power law with exponent 2, regardless of the in-degree distribution. When q -> 1 it can always be derived from the in-degree distribution of the underlying graph, if the out-degree is the same for all nodes.
Year
DOI
Venue
2007
10.1142/S0218127407018439
INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS
Keywords
DocType
Volume
random walks, networks
Journal
17
Issue
ISSN
Citations 
7
0218-1274
13
PageRank 
References 
Authors
1.04
9
2
Name
Order
Citations
PageRank
Santo Fortunato14209212.38
Alessandro Flammini2170594.69