Epidemics spreading in interconnected complex networks
We study epidemic spreading in two interconnected complex networks. It is found that in our model the epidemic threshold of the interconnected network is always lower than that in any of the two component networks. Detailed theoretical analysis is proposed which allows quick and accurate calculation...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2013
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/101653 http://hdl.handle.net/10220/16779 |
| _version_ | 1811690329717342208 |
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| author | Wang, Y. Xiao, G. |
| author2 | School of Electrical and Electronic Engineering |
| author_facet | School of Electrical and Electronic Engineering Wang, Y. Xiao, G. |
| author_sort | Wang, Y. |
| collection | NTU |
| description | We study epidemic spreading in two interconnected complex networks. It is found that in our model the epidemic threshold of the interconnected network is always lower than that in any of the two component networks. Detailed theoretical analysis is proposed which allows quick and accurate calculations of epidemic threshold and average outbreak/epidemic size. Theoretical analysis and simulation results show that, generally speaking, the epidemic size is not significantly affected by the inter-network correlation. In interdependent networks which can be viewed as a special case of interconnected networks, however, impacts of inter-network correlation on the epidemic threshold and outbreak size are more significant. |
| first_indexed | 2024-10-01T06:02:16Z |
| format | Journal Article |
| id | ntu-10356/101653 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T06:02:16Z |
| publishDate | 2013 |
| record_format | dspace |
| spelling | ntu-10356/1016532020-03-07T14:00:34Z Epidemics spreading in interconnected complex networks Wang, Y. Xiao, G. School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering We study epidemic spreading in two interconnected complex networks. It is found that in our model the epidemic threshold of the interconnected network is always lower than that in any of the two component networks. Detailed theoretical analysis is proposed which allows quick and accurate calculations of epidemic threshold and average outbreak/epidemic size. Theoretical analysis and simulation results show that, generally speaking, the epidemic size is not significantly affected by the inter-network correlation. In interdependent networks which can be viewed as a special case of interconnected networks, however, impacts of inter-network correlation on the epidemic threshold and outbreak size are more significant. 2013-10-24T07:07:19Z 2019-12-06T20:42:16Z 2013-10-24T07:07:19Z 2019-12-06T20:42:16Z 2012 2012 Journal Article Wang, Y., & Xiao, G. (2012). Epidemics spreading in interconnected complex networks. Physics letters A, 376(42-43), 2689-2696. 0375-9601 https://hdl.handle.net/10356/101653 http://hdl.handle.net/10220/16779 10.1016/j.physleta.2012.07.037 en Physics letters A |
| spellingShingle | DRNTU::Engineering::Electrical and electronic engineering Wang, Y. Xiao, G. Epidemics spreading in interconnected complex networks |
| title | Epidemics spreading in interconnected complex networks |
| title_full | Epidemics spreading in interconnected complex networks |
| title_fullStr | Epidemics spreading in interconnected complex networks |
| title_full_unstemmed | Epidemics spreading in interconnected complex networks |
| title_short | Epidemics spreading in interconnected complex networks |
| title_sort | epidemics spreading in interconnected complex networks |
| topic | DRNTU::Engineering::Electrical and electronic engineering |
| url | https://hdl.handle.net/10356/101653 http://hdl.handle.net/10220/16779 |
| work_keys_str_mv | AT wangy epidemicsspreadingininterconnectedcomplexnetworks AT xiaog epidemicsspreadingininterconnectedcomplexnetworks |