WEIGHTED ENUMERATION OF NONBACKTRACKING WALKS ON WEIGHTED GRAPHS
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A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
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Date
2024
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Language
en
Pages
22
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SIAM Journal on Matrix Analysis and Applications, Volume 45, issue 1, pp. 397-418
Abstract
We extend the notion of nonbacktracking walks from unweighted graphs to graphs whose edges have a nonnegative weight. Here the weight associated with a walk is taken to be the product over the weights along the individual edges. We give two ways to compute the associated generating function, and corresponding node centrality measures. One method works directly on the original graph and one uses a line graph construction followed by a projection. The first method is more efficient, but the second has the advantage of extending naturally to time-evolving graphs. Based on these generating functions, we define and study corresponding centrality measures. Illustrative computational results are also provided.Description
Publisher Copyright: © 2024 Society for Industrial and Applied Mathematics.
Keywords
centrality measure, combinatorics, complex network, evolving graph, generating function, Katz centrality, line graph, matrix function, temporal network
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Citation
Arrigo, F, Higham, D J, Noferini, V & Wood, R 2024, ' WEIGHTED ENUMERATION OF NONBACKTRACKING WALKS ON WEIGHTED GRAPHS ', SIAM Journal on Matrix Analysis and Applications, vol. 45, no. 1, pp. 397-418 . https://doi.org/10.1137/23M155219X