Nonlocal pagerank
نویسندگان
چکیده
In this work we introduce and study a nonlocal version of the PageRank. our approach, random walker explores graph using longer excursions than just moving between neighboring nodes. As result, corresponding ranking nodes, which takes into account \textit{long-range interaction} them, does not exhibit concentration phenomena typical spectral rankings take local interactions. We show that predictive value obtained proposals is considerably improved on different real world problems.
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ژورنال
عنوان ژورنال: Mathematical Modelling and Numerical Analysis
سال: 2021
ISSN: ['0764-583X', '1290-3841']
DOI: https://doi.org/10.1051/m2an/2020071