Evaluating Nodes of Latent Mediators in Heterogeneous Communities

Abstract Conventionally, the importance of nodes in a network has been debated from the viewpoint of the amount of information received by the nodes and its neighbors. While node evaluation based on the adjacency relationship mainly uses local proximity information, the community structure that char...

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Autores principales: Hiroko Yamano, Kimitaka Asatani, Ichiro Sakata
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2020
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Acceso en línea:https://doaj.org/article/ee5aeda2d2184cfebfcb76a33e0316d2
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spelling oai:doaj.org-article:ee5aeda2d2184cfebfcb76a33e0316d22021-12-02T14:59:15ZEvaluating Nodes of Latent Mediators in Heterogeneous Communities10.1038/s41598-020-64548-62045-2322https://doaj.org/article/ee5aeda2d2184cfebfcb76a33e0316d22020-05-01T00:00:00Zhttps://doi.org/10.1038/s41598-020-64548-6https://doaj.org/toc/2045-2322Abstract Conventionally, the importance of nodes in a network has been debated from the viewpoint of the amount of information received by the nodes and its neighbors. While node evaluation based on the adjacency relationship mainly uses local proximity information, the community structure that characterizes the network has hardly been considered. In this study, we propose a new node index that contributes to the understanding of the inter-community structure of a network by combining the measures of link distribution and community relevance. The visualization of node rankings and rank correlations with respect to the attack tolerance of networks demonstrated that the proposed index shows the highest performance in comparison with five previously proposed indexes, suggesting a new way to detect latent mediators in heterogeneous networks.Hiroko YamanoKimitaka AsataniIchiro SakataNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 10, Iss 1, Pp 1-11 (2020)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Hiroko Yamano
Kimitaka Asatani
Ichiro Sakata
Evaluating Nodes of Latent Mediators in Heterogeneous Communities
description Abstract Conventionally, the importance of nodes in a network has been debated from the viewpoint of the amount of information received by the nodes and its neighbors. While node evaluation based on the adjacency relationship mainly uses local proximity information, the community structure that characterizes the network has hardly been considered. In this study, we propose a new node index that contributes to the understanding of the inter-community structure of a network by combining the measures of link distribution and community relevance. The visualization of node rankings and rank correlations with respect to the attack tolerance of networks demonstrated that the proposed index shows the highest performance in comparison with five previously proposed indexes, suggesting a new way to detect latent mediators in heterogeneous networks.
format article
author Hiroko Yamano
Kimitaka Asatani
Ichiro Sakata
author_facet Hiroko Yamano
Kimitaka Asatani
Ichiro Sakata
author_sort Hiroko Yamano
title Evaluating Nodes of Latent Mediators in Heterogeneous Communities
title_short Evaluating Nodes of Latent Mediators in Heterogeneous Communities
title_full Evaluating Nodes of Latent Mediators in Heterogeneous Communities
title_fullStr Evaluating Nodes of Latent Mediators in Heterogeneous Communities
title_full_unstemmed Evaluating Nodes of Latent Mediators in Heterogeneous Communities
title_sort evaluating nodes of latent mediators in heterogeneous communities
publisher Nature Portfolio
publishDate 2020
url https://doaj.org/article/ee5aeda2d2184cfebfcb76a33e0316d2
work_keys_str_mv AT hirokoyamano evaluatingnodesoflatentmediatorsinheterogeneouscommunities
AT kimitakaasatani evaluatingnodesoflatentmediatorsinheterogeneouscommunities
AT ichirosakata evaluatingnodesoflatentmediatorsinheterogeneouscommunities
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