| 来源类型 | Article |
| 规范类型 | 其他 |
| DOI | 10.1103/PhysRevE.98.042313 |
| Network topology near criticality in adaptive epidemics. | |
| Horstmeyer L; Kuehn C; Thurner S | |
| 发表日期 | 2018 |
| 出处 | Physical Review E 98 (4): e042313 |
| 出版年 | 2018 |
| 语种 | 英语 |
| 摘要 | We study structural changes of adaptive networks in the coevolutionary susceptible-infected-susceptible (SIS) network model along its phase transition. We clarify to what extent these changes can be used as early-warning signs for the transition at the critical infection rate λc at which the network collapses and the system disintegrates. We analyze the interplay between topology and node-state dynamics near criticality. Several network measures exhibit clear maxima or minima close to the critical threshold and could potentially serve as early-warning signs. These measures include the SI link density, triplet densities, clustering, assortativity, and the eigenvalue gap. For the SI link density and triplet densities the maximum is found to originate from the coexistence of two power laws. Other network quantities, such as the degree, the branching ratio, or the harmonic mean distance, show scaling with a singularity at λ=0 (not at λc), which means that they are incapable of detecting the transition. © 2018 American Physical Society. |
| 主题 | Advanced Systems Analysis (ASA) |
| URL | http://pure.iiasa.ac.at/id/eprint/15569/ |
| 来源智库 | International Institute for Applied Systems Analysis (Austria) |
| 引用统计 | |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/131359 |
| 推荐引用方式 GB/T 7714 | Horstmeyer L,Kuehn C,Thurner S. Network topology near criticality in adaptive epidemics.. 2018. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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