Abstract
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 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. © 2013 American Physical Society.
| Original language | English |
|---|---|
| Article number | 32808 |
| Journal | Physical Review E - Statistical, Nonlinear, and Soft Matter Physics |
| Volume | 88 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 19 Sept 2013 |
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This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Publisher's Copyright Statement
- COPYRIGHT TERMS OF DEPOSITED FINAL PUBLISHED VERSION FILE: Zhou, J., Xiao, G., & Chen, G. (2013). Link-based formalism for time evolution of adaptive networks. Physical Review E - Statistical, Nonlinear, and Soft Matter Physics, 88(3), [32808]. https://doi.org/10.1103/PhysRevE.88.032808. The copyright of this article is owned by American Physical Society.
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