Proceedings of the 2016 4th International Conference on Machinery, Materials and Computing Technology

Analysis of hybrid immunization strategy in complex networks

Authors
Bin Liu, Shu Yan, Yumei Xue
Corresponding Author
Bin Liu
Available Online March 2016.
DOI
https://doi.org/10.2991/icmmct-16.2016.225How to use a DOI?
Keywords
Complex Network; SIR Epidemiological Model; Immunization Strategy
Abstract

In this paper, based on the classic SIR epidemiological model, we consider introducing hybrid immunization strategy including targeted immunization and acquaintance immunization to research on the proportion of infected nodes when the spreading of disease ends and the time steps of disease spreading. We use Monte Carlo numerical simulation in this paper, and compare the result with that of single targeted immunization strategy and single acquaintance immunization. It can be concluded from the research that in hybrid immunization strategy, the influence of targeted immunization is greater than acquaintance immunization, and the image curve of simulation result is closer to that of single targeted immunization strategy.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 4th International Conference on Machinery, Materials and Computing Technology
Series
Advances in Engineering Research
Publication Date
March 2016
ISBN
978-94-6252-165-0
ISSN
2352-5401
DOI
https://doi.org/10.2991/icmmct-16.2016.225How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Bin Liu
AU  - Shu Yan
AU  - Yumei Xue
PY  - 2016/03
DA  - 2016/03
TI  - Analysis of hybrid immunization strategy in complex networks
BT  - Proceedings of the 2016 4th International Conference on Machinery, Materials and Computing Technology
PB  - Atlantis Press
SP  - 1139
EP  - 1144
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmct-16.2016.225
DO  - https://doi.org/10.2991/icmmct-16.2016.225
ID  - Liu2016/03
ER  -