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- W4300621806 abstract "PageRank has numerous applications in information retrieval, reputation systems, machine learning, and graph partitioning. In this paper, we study PageRank in undirected random graphs with an expansion property. The Chung-Lu random graph is an example of such a graph. We show that in the limit, as the size of the graph goes to infinity, PageR- ank can be approximated by a mixture of the restart distribution and the vertex degree distribution. We also extend the result to Stochastic Block Model (SBM) graphs, where we show that there is a correction term that depends on the community partitioning." @default.
- W4300621806 created "2022-10-03" @default.
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- W4300621806 date "2017-03-23" @default.
- W4300621806 modified "2023-09-27" @default.
- W4300621806 title "PageRank in Undirected Random Graphs" @default.
- W4300621806 doi "https://doi.org/10.48550/arxiv.1703.08057" @default.
- W4300621806 hasPublicationYear "2017" @default.
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