Methods to Measure the Network Path Connectivity

The functionalities, such as connectivity and communication capability of complex networks, are related to the number and length of paths between node pairs in the networks. In this paper, we propose a new path connectivity measure by considering the number and length of paths of the network (PCNL)...

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Main Authors: Yinwei Li, Guo-Ping Jiang, Meng Wu, Yurong Song
Format: Article
Language:English
Published: Hindawi-Wiley 2020-01-01
Series:Security and Communication Networks
Online Access:http://dx.doi.org/10.1155/2020/8836590
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spelling doaj-1ac374d2f7dd49ef890e0db3731f425a2020-11-25T04:11:34ZengHindawi-WileySecurity and Communication Networks1939-01141939-01222020-01-01202010.1155/2020/88365908836590Methods to Measure the Network Path ConnectivityYinwei Li0Guo-Ping Jiang1Meng Wu2Yurong Song3School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing 210003, ChinaSchool of Automation, Nanjing University of Posts and Telecommunications, Nanjing 210003, ChinaSchool of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, ChinaSchool of Automation, Nanjing University of Posts and Telecommunications, Nanjing 210003, ChinaThe functionalities, such as connectivity and communication capability of complex networks, are related to the number and length of paths between node pairs in the networks. In this paper, we propose a new path connectivity measure by considering the number and length of paths of the network (PCNL) to evaluate network path connectivity. By comparing the PCNL with the typical natural connectivity, we prove the effectiveness of the PCNL to measure the path connectivity of networks. Because of the importance of the shortest paths, we further propose the shortest paths connectivity measure (SPCNL) based on the number and length of the shortest paths. Then, we use edge-betweenness-based malicious attacks to study the relationship between the SPCNL and network topology in five types of networks. The results show that the SPCNLs of the networks have a significant corresponding relationship and similar changing trend with their network topology heterogeneities with the increase of the number of deleted edges. These findings mean that the SPCNL is positively correlated with the heterogeneity of the network topology, which provides a new perspective for designing complex networks with high path connectivity.http://dx.doi.org/10.1155/2020/8836590
collection DOAJ
language English
format Article
sources DOAJ
author Yinwei Li
Guo-Ping Jiang
Meng Wu
Yurong Song
spellingShingle Yinwei Li
Guo-Ping Jiang
Meng Wu
Yurong Song
Methods to Measure the Network Path Connectivity
Security and Communication Networks
author_facet Yinwei Li
Guo-Ping Jiang
Meng Wu
Yurong Song
author_sort Yinwei Li
title Methods to Measure the Network Path Connectivity
title_short Methods to Measure the Network Path Connectivity
title_full Methods to Measure the Network Path Connectivity
title_fullStr Methods to Measure the Network Path Connectivity
title_full_unstemmed Methods to Measure the Network Path Connectivity
title_sort methods to measure the network path connectivity
publisher Hindawi-Wiley
series Security and Communication Networks
issn 1939-0114
1939-0122
publishDate 2020-01-01
description The functionalities, such as connectivity and communication capability of complex networks, are related to the number and length of paths between node pairs in the networks. In this paper, we propose a new path connectivity measure by considering the number and length of paths of the network (PCNL) to evaluate network path connectivity. By comparing the PCNL with the typical natural connectivity, we prove the effectiveness of the PCNL to measure the path connectivity of networks. Because of the importance of the shortest paths, we further propose the shortest paths connectivity measure (SPCNL) based on the number and length of the shortest paths. Then, we use edge-betweenness-based malicious attacks to study the relationship between the SPCNL and network topology in five types of networks. The results show that the SPCNLs of the networks have a significant corresponding relationship and similar changing trend with their network topology heterogeneities with the increase of the number of deleted edges. These findings mean that the SPCNL is positively correlated with the heterogeneity of the network topology, which provides a new perspective for designing complex networks with high path connectivity.
url http://dx.doi.org/10.1155/2020/8836590
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AT mengwu methodstomeasurethenetworkpathconnectivity
AT yurongsong methodstomeasurethenetworkpathconnectivity
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