Link-based formalism for time evolution of adaptive networks
Network topology and nodal dynamics are two fundamental stones of adaptive networks. Detailed and accurate knowledge of these two ingredients is crucial for understanding the evolution and mechanism of adaptive networks. In this paper, by adopting the framework of the adaptive SIS model proposed by...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
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2014
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| Online Access: | https://hdl.handle.net/10356/101847 http://hdl.handle.net/10220/18770 |
| _version_ | 1826111822819753984 |
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| author | Zhou, Jie Xiao, Gaoxi Chen, Guanrong |
| author2 | School of Electrical and Electronic Engineering |
| author_facet | School of Electrical and Electronic Engineering Zhou, Jie Xiao, Gaoxi Chen, Guanrong |
| author_sort | Zhou, Jie |
| collection | NTU |
| description | Network topology and nodal dynamics are two fundamental stones of adaptive networks. Detailed and accurate knowledge of these two ingredients is crucial for understanding the evolution and mechanism of adaptive networks. In this paper, by adopting the framework of the adaptive SIS model proposed by Gross et al. [Phys. Rev. Lett. 96, 208701 (2006)] and carefully utilizing the information of degree correlation of the network, we propose a link-based formalism for describing the system dynamics with high accuracy and subtle details. Several specific degree correlation measures are introduced to reveal the coevolution of network topology and system dynamics. |
| first_indexed | 2024-10-01T02:57:08Z |
| format | Journal Article |
| id | ntu-10356/101847 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T02:57:08Z |
| publishDate | 2014 |
| record_format | dspace |
| spelling | ntu-10356/1018472020-03-07T14:00:35Z Link-based formalism for time evolution of adaptive networks Zhou, Jie Xiao, Gaoxi Chen, Guanrong School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering Network topology and nodal dynamics are two fundamental stones of adaptive networks. Detailed and accurate knowledge of these two ingredients is crucial for understanding the evolution and mechanism of adaptive networks. In this paper, by adopting the framework of the adaptive SIS model proposed by Gross et al. [Phys. Rev. Lett. 96, 208701 (2006)] and carefully utilizing the information of degree correlation of the network, we propose a link-based formalism for describing the system dynamics with high accuracy and subtle details. Several specific degree correlation measures are introduced to reveal the coevolution of network topology and system dynamics. MOE (Min. of Education, S’pore) Published version 2014-02-06T05:33:49Z 2019-12-06T20:45:34Z 2014-02-06T05:33:49Z 2019-12-06T20:45:34Z 2013 2013 Journal Article Zhou, J., Xiao, G., & Chen, G. (2013). Link-based formalism for time evolution of adaptive networks. Physical Review E, 88(3), 032808-. https://hdl.handle.net/10356/101847 http://hdl.handle.net/10220/18770 10.1103/PhysRevE.88.032808 en Physical review E © 2013 American Physical Society. This paper was published in Physical Review E - Statistical, Nonlinear, and Soft Matter Physics and is made available as an electronic reprint (preprint) with permission of American Physical Society. The paper can be found at the following official DOI: [http://dx.doi.org/10.1103/PhysRevE.88.032808]. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law. application/pdf |
| spellingShingle | DRNTU::Engineering::Electrical and electronic engineering Zhou, Jie Xiao, Gaoxi Chen, Guanrong Link-based formalism for time evolution of adaptive networks |
| title | Link-based formalism for time evolution of adaptive networks |
| title_full | Link-based formalism for time evolution of adaptive networks |
| title_fullStr | Link-based formalism for time evolution of adaptive networks |
| title_full_unstemmed | Link-based formalism for time evolution of adaptive networks |
| title_short | Link-based formalism for time evolution of adaptive networks |
| title_sort | link based formalism for time evolution of adaptive networks |
| topic | DRNTU::Engineering::Electrical and electronic engineering |
| url | https://hdl.handle.net/10356/101847 http://hdl.handle.net/10220/18770 |
| work_keys_str_mv | AT zhoujie linkbasedformalismfortimeevolutionofadaptivenetworks AT xiaogaoxi linkbasedformalismfortimeevolutionofadaptivenetworks AT chenguanrong linkbasedformalismfortimeevolutionofadaptivenetworks |