NDLI: Percolation on Networks with Conditional Dependence Group

Content Provider	PubMed Central
Author	Wang, Hui Ming, Li Deng, Lin Wang, Bing-hong
Editor	Li, Daqing
Copyright Year	2015
Abstract	Recently, the dependence group has been proposed to study the robustness of networks with interdependent nodes. A dependence group means that a failed node in the group can lead to the failures of the whole group. Considering the situation of real networks that one failed node may not always break the functionality of a dependence group, we study a cascading failure model that a dependence group fails only when more than a fraction β of nodes of the group fail. We find that the network becomes more robust with the increasing of the parameter β. However, the type of percolation transition is always first order unless the model reduces to the classical network percolation model, which is independent of the degree distribution of the network. Furthermore, we find that a larger dependence group size does not always make the networks more fragile. We also present exact solutions to the size of the giant component and the critical point, which are in agreement with the simulations well.
Related Links	http://dx.doi.org/10.1371/journal.pone.0126674
Starting Page	126674
File Format	PDF
ISSN	19326203
e-ISSN	19326203
Journal	PLoS ONE
Issue Number	5
Volume Number	10
Language	English
Publisher	Public Library of Science
Publisher Date	2015-05-15
Access Restriction	Open
Rights Holder	Public Library of Science
Subject Keyword	Research in Higher Education
Content Type	Text
Resource Type	Article
Subject	Multidisciplinary

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Bootstrap percolation on spatial networks

Cascading failures on networks with asymmetric dependence

Dependence of Micelle Size and Shape on Detergent Alkyl Chain Length and Head Group

Connecting Core Percolation and Controllability of Complex Networks

Dense Percolation in Large-Scale Mean-Field Random Networks Is Provably “Explosive”

Concurrent enhancement of percolation and synchronization in adaptive networks

Proton percolation on hydrated lysozyme powders

Two-walker discrete-time quantum walks on the line with percolation

Percolation Centrality: Quantifying Graph-Theoretic Impact of Nodes during Percolation in Networks

Percolation on Networks with Conditional Dependence Group

Similar Documents

Bootstrap percolation on spatial networks

Cascading failures on networks with asymmetric dependence

Dependence of Micelle Size and Shape on Detergent Alkyl Chain Length and Head Group

Connecting Core Percolation and Controllability of Complex Networks

Dense Percolation in Large-Scale Mean-Field Random Networks Is Provably “Explosive”

Concurrent enhancement of percolation and synchronization in adaptive networks

Proton percolation on hydrated lysozyme powders

Two-walker discrete-time quantum walks on the line with percolation

Percolation Centrality: Quantifying Graph-Theoretic Impact of Nodes during Percolation in Networks

Percolation on Networks with Conditional Dependence Group