工业共生网络的复杂性度量及案例分析

Complexity measurements for Kalundborg and Gongyi industrial symbiosis networks

以物质/能量关联所刻画的工业共生网络是否具有复杂性特征是工业生态学领域值得探讨的重要问题。运用网络复杂性度量方法,以丹麦Kalundborg和河南省巩义市为案例,分析了区域工业共生网络的复杂性特征。分析结果表明:Kalundborg系统不体现复杂性,而巩义市系统则体现复杂性;与真实世界中很多复杂网络的度量结果相一致,巩义市工业共生系统体现出小世界性和无标度性,且高度数节点出现几率高于普通复杂网络;根据度量指标测算结果,巩义市工业共生系统与某些神经网络、代谢网络和生态链网具有相似性。

A challenging problem in industrial ecology is whether industrial symbiosis systems bear complexity features if the systems are described only from their mass/energy interlinkages. The network complexities of two cases, the Kalundborg system in Denmark and the Gongyi system in Henan Province of China, were studied to analyze the complexity characteristics of regional industrial symb;,osis networks. The results show that the Kalundborg industrial symbiosis network does not have network complexity, whereas the Gongyi does, thereby confirming that industrial symbiosis systems with different system sizes have different complexity characteristics. The Gongyi system shows small-world, free-scale characteristics, which occur in many complex network cases. Several of the calculated indices suggest that some similarities exist between the Gongyi system and some neural networks, metabolic networks, and food webs.