CAJ | 학술논문

本文利用复杂网络以小世界效应为视角研究我国矿业上市公司之间的关联性，通过对所选取的125家矿业上市公司进行相关分析，以矿业上市公司为节点，根据两个矿业上市公司是否有相同的主营产品来构建是否有边的关系来构建模型。通过计算和分析平均最短路径和聚集系数而获得相关数据。实验结果表明网络图具有明显的小世界效应特征，存在高度的聚类性，因此得出矿业上市公司的关联性很强，彼此之间具有相互影响和相互作用的结论。
본문이용복잡망락이소세계효응위시각연구아국광업상시공사지간적관련성，통과대소선취적125가광업상시공사진행상관분석，이광업상시공사위절점，근거량개광업상시공사시부유상동적주영산품래구건시부유변적관계래구건모형。통과계산화분석평균최단로경화취집계수이획득상관수거。실험결과표명망락도구유명현적소세계효응특정，존재고도적취류성，인차득출광업상시공사적관련성흔강，피차지간구유상호영향화상호작용적결론。
The present paper concerns itself with a connectedness study on Chinese listed mining companies .The approach adopted is called Small World Characteristics in Complex Network .An experiment network model is established with125 listed mining companies as nodes and the main mutual products as conjunctional edges .Relevant data is collected by calculating and analyzing the average shortest distance and clustering coefficient as well .The results indicate that the whole connectedness network has shown the characteristics of Small World ,which proves the high cohesion of the listed mining companies .Therefore ,the listed mining companies are assessed with close connectivity and interaction .