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The effect of adaptive behavior on risk propagation in industrial symbiosis networks
Physics Letters A ( IF 2.3 ) Pub Date : 2020-12-01 , DOI: 10.1016/j.physleta.2020.126915
Junliang Yang 1 , Kai Zheng 2
Affiliation  

The complex symbiotic relationship in the industrial symbiosis network (ISN) may cause new risks for firms. In view of this problem, previous studies mainly regard the ISN as a static system, without considering the adaptive behavior of firms. This paper establishes a risk propagation model of the ISN based on the change of firm state, proposes four kinds of reconnection strategies to model the adaptive behavior, and uses numerical simulation to investigate the effect of adaptive behavior on risk propagation. The results demonstrate that all the reconnection strategies play an inhibitory role in the risk propagation. Therein, the effectiveness of PP strategy is the best, followed by RR strategy, and DP (SP) strategy. In any case, the effect of reconnection strategies on risk propagation will improve with the increase of the disconnection probability and network resilience. Additionally, the more decentralized weight distribution will weaken the inhibition of adaptive behavior on risk propagation.

中文翻译:


工业共生网络中适应性行为对风险传播的影响



产业共生网络(ISN)中复杂的共生关系可能会给企业带来新的风险。针对这一问题,以往的研究主要将ISN视为静态系统,没有考虑企业的适应性行为。本文建立了基于企业状态变化的ISN风险传播模型,提出了四种重连接策略对自适应行为进行建模,并利用数值模拟研究了自适应行为对风险传播的影响。结果表明,所有的重连策略都对风险传播起到了抑制作用。其中PP策略的有效性最好,RR策略次之,DP(SP)策略。无论如何,重连策略对风险传播的效果会随着断线概率和网络弹性的增加而提高。此外,更分散的权重分布会削弱自适应行为对风险传播的抑制作用。
更新日期:2020-12-01
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