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适应性行为对工业共生网络中风险传播的影响。

The effect of adaptive behavior on risk propagation in industrial symbiosis networks.

作者信息

Yang Junliang, Zheng Kai

机构信息

School of Management Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China.

School of Materials Science and Engineering, University of Jinan, Jinan 250022, China.

出版信息

Phys Lett A. 2020 Dec 30;384(36):126915. doi: 10.1016/j.physleta.2020.126915. Epub 2020 Sep 29.

DOI:10.1016/j.physleta.2020.126915
PMID:33012965
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7523499/
Abstract

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.

摘要

产业共生网络（ISN）中的复杂共生关系可能给企业带来新的风险。针对这一问题，以往研究主要将ISN视为静态系统，未考虑企业的适应性行为。本文基于企业状态变化建立了ISN风险传播模型，提出四种重新连接策略来模拟适应性行为，并通过数值模拟研究适应性行为对风险传播的影响。结果表明，所有重新连接策略对风险传播均起到抑制作用。其中，PP策略效果最佳，其次是RR策略，DP（SP）策略效果相对较弱。在任何情况下，重新连接策略对风险传播的影响都会随着断开概率和网络弹性的增加而增强。此外，权重分布越分散，适应性行为对风险传播的抑制作用就越弱。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5f77/7523499/897d60ffc9a8/gr009_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5f77/7523499/881479d247dc/gr001_lrg.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5f77/7523499/897d60ffc9a8/gr009_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5f77/7523499/881479d247dc/gr001_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5f77/7523499/e97fb9c4b0c9/gr002_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5f77/7523499/d1b40f0bc88e/gr003_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5f77/7523499/972f07e4fdcf/gr004_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5f77/7523499/1c476bcf59b3/gr005_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5f77/7523499/e2e648f46d6f/gr006_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5f77/7523499/4b50d01745eb/gr007_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5f77/7523499/981f4c8001d5/gr008_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5f77/7523499/897d60ffc9a8/gr009_lrg.jpg

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