In this paper a novel notion of Bipartite PageRank is introduced and limits of authority flow in bipartite graphs are investigated. As a starting point we simplify the proof of a theorem on personalized random walk in unimodal graphs that is fundamental to graph nodes clustering. As a consequence we generalize this theorem to bipartite graphs.
CITATION STYLE
Klopotek, M. A., Wierzchoń, S. T., Kłopotek, R. A., & Kłopotek, E. A. (2015). Network capacity bound for personalized bipartite pagerank. In Challenges in Computational Statistics and Data Mining (Vol. 605, pp. 189–204). Springer International Publishing. https://doi.org/10.1007/978-3-319-18781-5_11
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