NDLI: A new immunization algorithm based on spectral properties for complex networks

Content Provider	IEEE Xplore Digital Library
Author	Zahedi, R. Khansari, M.
Copyright Year	2015
Description	Author affiliation: Fac. of New Sci. & Technol., Univ. of Tehran, Tehran, Iran (Khansari, M.) \|\| Dept. of Sci. & Eng., Sharif Univ. of Technol., Kish, Iran (Zahedi, R.)
Abstract	Nowadays, we are facing epidemic spreading in many different areas; examples are infection propagation, rumor spreading and computer viruses in computer networks. Finding a strategy to control and mitigate the spread of these epidemics is gaining much interest in recent researches. Due to limitation of immunization resources, it is important to establish a strategy for selecting nodes which has the most effect in mitigating epidemics. In this paper, we propose a new algorithm that minimizes the worst expected growth of an epidemic by reducing the size of the largest connected component of the underlying contact network. The proposed algorithm is applicable to any level of available resources and, despite the greedy approaches of most immunization strategies, selects nodes simultaneously. In each iteration, the proposed method partitions the largest connected component into two groups. These are the best candidates for communities in that component, and the available resources are sufficient to separate them. Using Laplacian spectral partitioning, the proposed method performs community detection inference with a time complexity that rivals that of the best previous methods. Experiments show that our method outperforms targeted immunization approaches in real networks.
Starting Page	1
Ending Page	5
File Size	460972
Page Count	5
File Format	PDF
ISBN	9781467374835
e-ISBN	9781467374859
DOI	10.1109/IKT.2015.7288754
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-05-26
Publisher Place	Iran
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Laplace equations Immunization Graph Spectra Complex networks Complex Networks Inference algorithms Partitioning algorithms Time complexity Joining processes Immune system
Content Type	Text
Resource Type	Article

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

Graph Construction Based on Labeled Instances for Semi-supervised Learning

An Algorithm of System Decomposition Based on Laplace Spectral Graph Partitioning Technology

A graph clustering algorithm based on weighted shared neighbors and links

Review on spectral methods for clustering

Fast distributed graph partition and application

Isoperimetric Partitioning: A New Algorithm for Graph Partitioning

A survey on spectral clustering

Distributing simulation work based on component activity: a new approach to partitioning hierarchical DEVS models

Complex network theory and graph partitioning: Application to large interconnected networks

A new immunization algorithm based on spectral properties for complex networks

Similar Documents

Graph Construction Based on Labeled Instances for Semi-supervised Learning

An Algorithm of System Decomposition Based on Laplace Spectral Graph Partitioning Technology

A graph clustering algorithm based on weighted shared neighbors and links

Review on spectral methods for clustering

Fast distributed graph partition and application

Isoperimetric Partitioning: A New Algorithm for Graph Partitioning

A survey on spectral clustering

Distributing simulation work based on component activity: a new approach to partitioning hierarchical DEVS models

Complex network theory and graph partitioning: Application to large interconnected networks

A new immunization algorithm based on spectral properties for complex networks