The simulation of immunization strategy in email networks

Chao Gao; Ji Ming Liu; Ning Zhong; Jia Jin Huang; Hong Jun Qiu

The simulation of immunization strategy in email networks

Chao Gao
, Ji Ming Liu
, Ning Zhong
, Jia Jin Huang
, Hong Jun Qiu

Beijing University of Technology
Hong Kong Baptist University
Maebashi Institute of Technology

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

Abstract

Email networks are typical social networks. The research on virus spreading in email networks can improve the study on the propagation in complex networks. Based on an interactive email network, this paper compares the efficiency of existing immunization strategies with the betweenness-based strategies. The comparison results show that the betweenness-based immunization strategies can perform more efficiently while the global information is available.

Original language	English
Pages (from-to)	840-844
Number of pages	5
Journal	Beijing Gongye Daxue Xuebao/Journal of Beijing University of Technology
Volume	36
Issue number	6
State	Published - Jun 2010
Externally published	Yes

Keywords

Email network
Immunization strategy
Virus spreading

Cite this

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title = "The simulation of immunization strategy in email networks",

abstract = "Email networks are typical social networks. The research on virus spreading in email networks can improve the study on the propagation in complex networks. Based on an interactive email network, this paper compares the efficiency of existing immunization strategies with the betweenness-based strategies. The comparison results show that the betweenness-based immunization strategies can perform more efficiently while the global information is available.",

keywords = "Email network, Immunization strategy, Virus spreading",

author = "Chao Gao and Liu, \{Ji Ming\} and Ning Zhong and Huang, \{Jia Jin\} and Qiu, \{Hong Jun\}",

year = "2010",

month = jun,

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volume = "36",

pages = "840--844",

journal = "Beijing Gongye Daxue Xuebao/Journal of Beijing University of Technology",

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T1 - The simulation of immunization strategy in email networks

AU - Gao, Chao

AU - Liu, Ji Ming

AU - Zhong, Ning

AU - Huang, Jia Jin

AU - Qiu, Hong Jun

PY - 2010/6

Y1 - 2010/6

N2 - Email networks are typical social networks. The research on virus spreading in email networks can improve the study on the propagation in complex networks. Based on an interactive email network, this paper compares the efficiency of existing immunization strategies with the betweenness-based strategies. The comparison results show that the betweenness-based immunization strategies can perform more efficiently while the global information is available.

AB - Email networks are typical social networks. The research on virus spreading in email networks can improve the study on the propagation in complex networks. Based on an interactive email network, this paper compares the efficiency of existing immunization strategies with the betweenness-based strategies. The comparison results show that the betweenness-based immunization strategies can perform more efficiently while the global information is available.

KW - Email network

KW - Immunization strategy

KW - Virus spreading

UR - https://www.scopus.com/pages/publications/77954361871

M3 - 文章

AN - SCOPUS:77954361871

SN - 0254-0037

VL - 36

SP - 840

EP - 844

JO - Beijing Gongye Daxue Xuebao/Journal of Beijing University of Technology

JF - Beijing Gongye Daxue Xuebao/Journal of Beijing University of Technology

IS - 6

ER -

The simulation of immunization strategy in email networks

Abstract

Keywords

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