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Autor principal: Tuzhilin, Mikhail
Formato: Preprint
Publicado: 2026
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Acceso en línea:https://arxiv.org/abs/2601.02052
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author Tuzhilin, Mikhail
author_facet Tuzhilin, Mikhail
contents In this article we propose a generalization of two known invariants of real networks: degree and ksi-centrality. More precisely, we found a series of centralities based on Laplacian matrix, that have exponential distributions (power-law for the case $j = 0$) for real networks and different distributions for artificial ones.
format Preprint
id arxiv_https___arxiv_org_abs_2601_02052
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle A series of real networks invariants
Tuzhilin, Mikhail
Social and Information Networks
Combinatorics
In this article we propose a generalization of two known invariants of real networks: degree and ksi-centrality. More precisely, we found a series of centralities based on Laplacian matrix, that have exponential distributions (power-law for the case $j = 0$) for real networks and different distributions for artificial ones.
title A series of real networks invariants
topic Social and Information Networks
Combinatorics
url https://arxiv.org/abs/2601.02052