基于改进K-shell的复杂加权网络节点影响力评价——以绿色建筑项目风险网络为例

Impact Evaluation of Complex Weighted Network Nodes Based on Improved K-shell——Take Risk Network of Green Building Projects as an Example

传统K-shell分解方法存在复杂网络内在规律辨别困难且准确度不高的缺陷.构建复合加权度计算模型,以绿色建筑项目复杂加权风险网络为例,利用复合加权度进行复杂网络K-shell分解,得到改进的K-shell凝聚子网.根据改进的K-shell凝聚子网将网络节点的影响力量化为3级(Ⅰ、Ⅱ、Ⅲ级),与传统K-shell方法进行对比证实,改进后的K-shell分解方法能够有效解决传统方法存在的问题,可为复杂网络的相关研究提供参考.

The traditional K-shell decomposition method has the defects of difficulty in discerning the inherent laws in complex networks and low accuracy.This paper constructs a calculation model of compound weighting degree,takes the complex weighted risk network of green building projects as an example,and uses the compound weighting degree to decompose the complex network K-shell.According to the improved K-shell,the influence power of network nodes is divided into three levels(Ⅰ,Ⅱ,Ⅲ).By comparison with the traditional K-shell method,it is confirmed that the improved K-shell decomposition method can effectively solve the defects existing in the traditional method,which provides a meaningful reference for the study of complex network.