CAJ | 학술논문

通过构建产业集群信息服务平台并依据集群风险特征创建了集群信息服务平台的风险预警的网络特征指标体系。预警分析中，微观层面采用网络密度和网络平均路径长度指标，中观层面采用度中心、中介中心和接近中心三个指标来分析，宏观层面采用集聚系数和网络间匹配度进行衡量。通过对某产业集群进行实证研究，证明了该风险预警机制的可行性和实用性，并根据实证分析结果提出了相应的发展建议。
통과구건산업집군신식복무평태병의거집군풍험특정창건료집군신식복무평태적풍험예경적망락특정지표체계。예경분석중，미관층면채용망락밀도화망락평균로경장도지표，중관층면채용도중심、중개중심화접근중심삼개지표래분석，굉관층면채용집취계수화망락간필배도진행형량。통과대모산업집군진행실증연구，증명료해풍험예경궤제적가행성화실용성，병근거실증분석결과제출료상응적발전건의。
This paper builds an information service platform for the industry cluster and creates the network characteristic indicator system of the platform risk warning based on the characteristics of cluster risks. In the early warning analysis, micro-level analysis uses the indices of network density and average path length, meso-level analysis uses the three indicators of degree centrality, between centrality, and closeness centrality, while macro-level analysis adopts clustering coefficient and the matching degree of networks. An empirical study of industrial clusters proves the feasibility and practicability of the early warning mechanism. At last, suggestions on the optimization of in-dustrial cluster service platform are proposed.