PageRank beyond the Web
Social and Information Networks
2014-07-22 v1 Computational Engineering, Finance, and Science
Numerical Analysis
Physics and Society
Abstract
Google's PageRank method was developed to evaluate the importance of web-pages via their link structure. The mathematics of PageRank, however, are entirely general and apply to any graph or network in any domain. Thus, PageRank is now regularly used in bibliometrics, social and information network analysis, and for link prediction and recommendation. It's even used for systems analysis of road networks, as well as biology, chemistry, neuroscience, and physics. We'll see the mathematics and ideas that unite these diverse applications.
Cite
@article{arxiv.1407.5107,
title = {PageRank beyond the Web},
author = {David F. Gleich},
journal= {arXiv preprint arXiv:1407.5107},
year = {2014}
}
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37 pages