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作 者:谷峥霖[1] 王洋 Gu Zhenglin;Wang Yang(Faculty of Education,Yunnan Normal University,Kunming 650500,China;Faculty of Geography,Yunnan Normal University,Kunming 650500,China)
机构地区:[1]云南师范大学教育学部,昆明650500 [2]云南师范大学地理学部,昆明650500
出 处:《黑龙江科学》2023年第4期13-17,21,共6页Heilongjiang Science
基 金:国家自然科学基金项目(41871150);云南省哲学社会科学创新团队科研项目(2021tdxmy22)。
摘 要:利用城市区域范围内的经济数据,采取自组织分析方法,研究对应城市区域的网络特征。分析了城市数据网络节点经济价值,以城市为网络节点、城市间的经济往来为关联结构,搭建经济网络模型。在该模型下,分别从网络关联结构和网络特征指标两个方面入手,设置区域经济网络密度、节点中心性、核心-边缘结构和经济联系强度指数,利用自组织理论,分析经济网络节点与线路,综合计算指标,得出城市区域经济网络的特征分析结果。对2021年长三角区域城市的实证分析表明,该经济网络具有连通、聚集等特征,网络密度较低,特征指数之间具有明显的正相关关系,与传统特征分析方法相比,数据偏差小。Based on the economic data of urban area,the study researches the network characteristics of corresponding urban area by using self-organization analysis method.Firstly,the economic value of urban data network node is analyzed,and the economic network model is built with the city as the network node and the economic exchanges among cities as the associated structure.In this model,the density of regional economic network,the centrality of nodes,the core-edge structure and the intensity index of economic connection are set up from two aspects:network connection structure and network characteristic index.Through using the theory of self-organization,the economic network nodes and lines are analyzed,and the characteristic analysis results of urban regional economic network are obtained by comprehensive calculation of indicators.The empirical analysis of the cities in the Yangtze River Delta in 2021 shows that the economic network has the characteristics of connectivity,aggregation,low network density,and obvious positive correlation between characteristic indexes.Compared with the traditional feature analysis method,the data deviation is small.
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