Enforcing Katz and PageRank Centrality Measures in Complex Networks

Fuente: arXiv
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Autori principali: Cipolla, Stefano, Durastante, Fabio, Meini, Beatrice
Natura: Preprint
Pubblicazione: 2024
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author Cipolla, Stefano
Durastante, Fabio
Meini, Beatrice
author_facet Cipolla, Stefano
Durastante, Fabio
Meini, Beatrice
contents We investigate the problem of enforcing a desired centrality measure in complex networks, while still keeping the original pattern of the network. Specifically, by representing the network as a graph with suitable nodes and weighted edges, we focus on computing the smallest perturbation on the weights required to obtain a prescribed PageRank or Katz centrality index for the nodes. Our approach relies on optimization procedures that scale with the number of modified edges, enabling the exploration of different scenarios and altering network structure and dynamics.
format Preprint
id arxiv_https___arxiv_org_abs_2409_02524
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Enforcing Katz and PageRank Centrality Measures in Complex Networks
Cipolla, Stefano
Durastante, Fabio
Meini, Beatrice
Physics and Society
Numerical Analysis
05C82, 90C20, 05C81
We investigate the problem of enforcing a desired centrality measure in complex networks, while still keeping the original pattern of the network. Specifically, by representing the network as a graph with suitable nodes and weighted edges, we focus on computing the smallest perturbation on the weights required to obtain a prescribed PageRank or Katz centrality index for the nodes. Our approach relies on optimization procedures that scale with the number of modified edges, enabling the exploration of different scenarios and altering network structure and dynamics.
title Enforcing Katz and PageRank Centrality Measures in Complex Networks
topic Physics and Society
Numerical Analysis
05C82, 90C20, 05C81
url https://arxiv.org/abs/2409.02524