AAAI 2022technical2 citations
PageRank for Edges: Axiomatic Characterization
Natalia Kucharczuk, Tomasz Wąs, Oskar Skibski
Abstract
Edge centrality measures are functions that evaluate the importance of edges in a network. They can be used to assess the role of a backlink for the popularity of a website as well as the importance of a flight in virus spreading. Various node centralities have been translated to apply for edges, including Edge Betweenness, Eigenedge (edge version of eigenvector centrality), and Edge PageRank. With this paper, we initiate the discussion on the axiomatic properties of edge centrality measures. We do it by proposing an axiomatic characterization of Edge PageRank. Our characterization is the first characterization of any edge centrality measures in the literature.
BibTeX
@inproceedings{aaai2022_pagerankforedges,
title = {PageRank for Edges: Axiomatic Characterization},
author = {Natalia Kucharczuk and Tomasz Wąs and Oskar Skibski},
booktitle = {AAAI 2022},
year = {2022}
}