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author:

Liu, Z.-H. (Liu, Z.-H..) [1] | Chen, G.-L. (Chen, G.-L..) [2] | Wang, N.-N. (Wang, N.-N..) [3] | Song, B. (Song, B..) [4]

Indexed by:

Scopus

Abstract:

Purpose - The purpose of this paper is to present a new immunization strategy for effectively solving the control of the spread of the virus.Design/methodology/approach - Inspired by the idea of network partition, taking two optimization targets which are the scale of sub-network and the sum of the strengths of the sub-network's nodes into account at the same time, a new immunization strategy based on greedy algorithm in the scale-free network is presented. After specifying the number of nodes through the immunization, the network is divided into the scale of sub-network and the sum of the strength of the sub-network's nodes as small as possible.Findings - The experimental results show that the proposed algorithm has the better performance than targeted immunization which is supposed to be highly efficient at present.Originality/value - This paper proposes a new immunization strategy based on greedy algorithm in the scale-free network for effectively solving the control of the spread of the virus. © Emerald Group Publishing Limited.

Keyword:

Graph partition; Greedy algorithm; Immunization strategy; Virus spreading; Weighted scale-free networks

Community:

  • [ 1 ] [Liu, Z.-H.]Department of Mathematics and Computer Sciences, Fuzhou University, Fuzhou, China
  • [ 2 ] [Chen, G.-L.]Key Laboratory of Discrete Mathematics with Applications of Ministry of Education, Fuzhou University, Fuzhou, China
  • [ 3 ] [Wang, N.-N.]Key Laboratory of Discrete Mathematics with Applications of Ministry of Education, Fuzhou University, Fuzhou, China
  • [ 4 ] [Song, B.]Department of Mathematics and Computer Sciences, Fuzhou University, Fuzhou, China

Reprint 's Address:

  • [Liu, Z.-H.]Department of Mathematics and Computer Sciences, Fuzhou UniversityChina

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Source :

Engineering Computations (Swansea, Wales)

ISSN: 0264-4401

Year: 2014

Issue: 8

Volume: 31

Page: 1627-1634

1 . 4 9 5

JCR@2014

1 . 5 0 0

JCR@2023

ESI HC Threshold:184

JCR Journal Grade:1

CAS Journal Grade:3

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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