Effect of Weight Thresholding on the Robustness of Real-World Complex Networks to Central Node Attacks

In this study, we investigate the effect of weight thresholding (WT) on the robustness of real-world complex networks. Here, we assess the robustness of networks after WT against various node attack strategies. We perform WT by removing a fixed fraction of weak links. The size of the largest connect...

Full description

Bibliographic Details
Main Authors: Jisha Mariyam John, Michele Bellingeri, Divya Sindhu Lekha, Davide Cassi, Roberto Alfieri
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Mathematics
Subjects:
Online Access:https://www.mdpi.com/2227-7390/11/16/3482
_version_ 1797583991881072640
author Jisha Mariyam John
Michele Bellingeri
Divya Sindhu Lekha
Davide Cassi
Roberto Alfieri
author_facet Jisha Mariyam John
Michele Bellingeri
Divya Sindhu Lekha
Davide Cassi
Roberto Alfieri
author_sort Jisha Mariyam John
collection DOAJ
description In this study, we investigate the effect of weight thresholding (WT) on the robustness of real-world complex networks. Here, we assess the robustness of networks after WT against various node attack strategies. We perform WT by removing a fixed fraction of weak links. The size of the largest connected component indicates the network’s robustness. We find that real-world networks subjected to WT hold a robust connectivity structure to node attack even for higher WT values. In addition, we analyze the change in the top 30% of central nodes with WT and find a positive correlation in the ranking of central nodes for weighted node centralities. Differently, binary node centralities show a lower correlation when networks are subjected to WT. This result indicates that weighted node centralities are more stable indicators of node importance in real-world networks subjected to link sparsification.
first_indexed 2024-03-10T23:46:56Z
format Article
id doaj.art-d8af1635f6ba4b419a802462a14183bd
institution Directory Open Access Journal
issn 2227-7390
language English
last_indexed 2024-03-10T23:46:56Z
publishDate 2023-08-01
publisher MDPI AG
record_format Article
series Mathematics
spelling doaj.art-d8af1635f6ba4b419a802462a14183bd2023-11-19T02:02:36ZengMDPI AGMathematics2227-73902023-08-011116348210.3390/math11163482Effect of Weight Thresholding on the Robustness of Real-World Complex Networks to Central Node AttacksJisha Mariyam John0Michele Bellingeri1Divya Sindhu Lekha2Davide Cassi3Roberto Alfieri4Indian Institute of Information Technology, Kottayam 686635, IndiaDipartimento di Scienze Matematiche, Fisiche e Informatiche, Università di Parma, 43124 Parma, ItalyIndian Institute of Information Technology, Kottayam 686635, IndiaDipartimento di Scienze Matematiche, Fisiche e Informatiche, Università di Parma, 43124 Parma, ItalyDipartimento di Scienze Matematiche, Fisiche e Informatiche, Università di Parma, 43124 Parma, ItalyIn this study, we investigate the effect of weight thresholding (WT) on the robustness of real-world complex networks. Here, we assess the robustness of networks after WT against various node attack strategies. We perform WT by removing a fixed fraction of weak links. The size of the largest connected component indicates the network’s robustness. We find that real-world networks subjected to WT hold a robust connectivity structure to node attack even for higher WT values. In addition, we analyze the change in the top 30% of central nodes with WT and find a positive correlation in the ranking of central nodes for weighted node centralities. Differently, binary node centralities show a lower correlation when networks are subjected to WT. This result indicates that weighted node centralities are more stable indicators of node importance in real-world networks subjected to link sparsification.https://www.mdpi.com/2227-7390/11/16/3482complex networkrobustnessweight thresholdingnode attack strategiesweak link removal
spellingShingle Jisha Mariyam John
Michele Bellingeri
Divya Sindhu Lekha
Davide Cassi
Roberto Alfieri
Effect of Weight Thresholding on the Robustness of Real-World Complex Networks to Central Node Attacks
Mathematics
complex network
robustness
weight thresholding
node attack strategies
weak link removal
title Effect of Weight Thresholding on the Robustness of Real-World Complex Networks to Central Node Attacks
title_full Effect of Weight Thresholding on the Robustness of Real-World Complex Networks to Central Node Attacks
title_fullStr Effect of Weight Thresholding on the Robustness of Real-World Complex Networks to Central Node Attacks
title_full_unstemmed Effect of Weight Thresholding on the Robustness of Real-World Complex Networks to Central Node Attacks
title_short Effect of Weight Thresholding on the Robustness of Real-World Complex Networks to Central Node Attacks
title_sort effect of weight thresholding on the robustness of real world complex networks to central node attacks
topic complex network
robustness
weight thresholding
node attack strategies
weak link removal
url https://www.mdpi.com/2227-7390/11/16/3482
work_keys_str_mv AT jishamariyamjohn effectofweightthresholdingontherobustnessofrealworldcomplexnetworkstocentralnodeattacks
AT michelebellingeri effectofweightthresholdingontherobustnessofrealworldcomplexnetworkstocentralnodeattacks
AT divyasindhulekha effectofweightthresholdingontherobustnessofrealworldcomplexnetworkstocentralnodeattacks
AT davidecassi effectofweightthresholdingontherobustnessofrealworldcomplexnetworkstocentralnodeattacks
AT robertoalfieri effectofweightthresholdingontherobustnessofrealworldcomplexnetworkstocentralnodeattacks