Efficient Algorithm for the Identification of Node Significance in Complex Network

Identifying vital nodes is a significant issue for the study of network robustness, epidemic controlling and targeted destruction of networks. Previous studies on weak ties theory recovered that ties with weak strength usually act as the important bridges that connect different clusters and play imp...

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Main Authors: Yirun Ruan, Jun Tang, Yanli Hu, Haoran Wang, Liang Bai
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8985345/
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spelling doaj-3bf9e625a3bf4d469b14b7caca178c772021-03-30T02:04:08ZengIEEEIEEE Access2169-35362020-01-018289472895510.1109/ACCESS.2020.29721078985345Efficient Algorithm for the Identification of Node Significance in Complex NetworkYirun Ruan0https://orcid.org/0000-0002-4636-5713Jun Tang1https://orcid.org/0000-0001-8925-2367Yanli Hu2https://orcid.org/0000-0003-2577-4195Haoran Wang3https://orcid.org/0000-0002-2194-9421Liang Bai4https://orcid.org/0000-0002-2696-5885College of Systems Engineering, National University of Defense Technology, Changsha, ChinaCollege of Systems Engineering, National University of Defense Technology, Changsha, ChinaCollege of Systems Engineering, National University of Defense Technology, Changsha, ChinaCollege of Systems Engineering, National University of Defense Technology, Changsha, ChinaCollege of Systems Engineering, National University of Defense Technology, Changsha, ChinaIdentifying vital nodes is a significant issue for the study of network robustness, epidemic controlling and targeted destruction of networks. Previous studies on weak ties theory recovered that ties with weak strength usually act as the important bridges that connect different clusters and play important role in maintaining the network connectivity. In this paper, we quantify the strength of links based on local information of the network topology, and design a simple yet effective method to evaluate nodes' importance in terms of the number of their connections and overlap of their neighbors. Experimental analyses on synthetic and real networks demonstrate that the proposed algorithm identifies vital nodes leading to faster network collapse in target destruction than some well-known methods.https://ieeexplore.ieee.org/document/8985345/Complex networknode importanceweak tiesnetwork connectivitytarget destruction
collection DOAJ
language English
format Article
sources DOAJ
author Yirun Ruan
Jun Tang
Yanli Hu
Haoran Wang
Liang Bai
spellingShingle Yirun Ruan
Jun Tang
Yanli Hu
Haoran Wang
Liang Bai
Efficient Algorithm for the Identification of Node Significance in Complex Network
IEEE Access
Complex network
node importance
weak ties
network connectivity
target destruction
author_facet Yirun Ruan
Jun Tang
Yanli Hu
Haoran Wang
Liang Bai
author_sort Yirun Ruan
title Efficient Algorithm for the Identification of Node Significance in Complex Network
title_short Efficient Algorithm for the Identification of Node Significance in Complex Network
title_full Efficient Algorithm for the Identification of Node Significance in Complex Network
title_fullStr Efficient Algorithm for the Identification of Node Significance in Complex Network
title_full_unstemmed Efficient Algorithm for the Identification of Node Significance in Complex Network
title_sort efficient algorithm for the identification of node significance in complex network
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2020-01-01
description Identifying vital nodes is a significant issue for the study of network robustness, epidemic controlling and targeted destruction of networks. Previous studies on weak ties theory recovered that ties with weak strength usually act as the important bridges that connect different clusters and play important role in maintaining the network connectivity. In this paper, we quantify the strength of links based on local information of the network topology, and design a simple yet effective method to evaluate nodes' importance in terms of the number of their connections and overlap of their neighbors. Experimental analyses on synthetic and real networks demonstrate that the proposed algorithm identifies vital nodes leading to faster network collapse in target destruction than some well-known methods.
topic Complex network
node importance
weak ties
network connectivity
target destruction
url https://ieeexplore.ieee.org/document/8985345/
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AT juntang efficientalgorithmfortheidentificationofnodesignificanceincomplexnetwork
AT yanlihu efficientalgorithmfortheidentificationofnodesignificanceincomplexnetwork
AT haoranwang efficientalgorithmfortheidentificationofnodesignificanceincomplexnetwork
AT liangbai efficientalgorithmfortheidentificationofnodesignificanceincomplexnetwork
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