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基于百度指数的中国省域间信息联系网络格局及其动力机制 被引量:43

Network Pattern of Inter-Provincial Information Connection and Its Dynamic Mechanism in China:Based on Baidu Index
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摘要 以各省份之间相互搜索的百度指数作为省域间信息联系的依据,采用社会网络分析法探讨省域间信息联系网络格局以及层级结构。研究发现:①各省域的信息联系强度随时间明显上升,但强度位序较低的大部分省份信息联系增速相对较快。②信息联系并未完全脱离地理空间的束缚,省域间信息联系网络格局总体上呈由东到西联系强度递减的态势,大部分联系集中在稳定的'北京—上海—广东'发散的三角空间结构中。③省域间信息联系网络总体上呈现'一极三核心,多点带动'的'1+2+7+7+14'的层级结构。北京在信息联系中具有极强的中心度和控制力,上海、广州为次核心,江苏、浙江、山东、河南、重庆和四川在省域间信息联系中属于重要的节点。④省域间信息联系网络受到地区社会经济发展、信息基础设施建设、信息技术应用和科技教育水平多因素综合作用。 The rapid development of information and communication technologies has strengthened the links between regions.As one of the important ways of regional linkages,the information connection has been studied by the academic community on how to measure the linkages between regions.This paper takes the Baidu index mutual search between provinces as the basis of information connection between provinces and explores the network pattern and hierarchical structure of inter-provincial information connection utilizing the social network analysis.The main findings are as follows:1)The strength of inter-provincial information connection increases significantly with time,and growth rate of information connection be in low intensity rank is relatively rapid in most provinces;2)Information connection does not completely break away from the constraints of geographical space.The network pattern of inter-provincial information connection generally shows a decreasing trend in connection intensity from the east to the west.Most of the connection is stably concentrated in Beijing-Shanghai-Guangdong;3)The inter-provincial information connection network presents a hierarchical structure of'1+2+7+7+14'.Beijing has a strong degree of centrality and control force in information connection.Shanghai and Guangzhou are sub-cores.Jiangsu,Zhejiang,Shandong,Henan,Chongqing,and Sichuan are the important nodes in the inter-provincial information connection;4)The information connection network among provinces has been comprehensively affected by various factors which are regional socio-economic development,information infrastructure construction,information technology application and regional education level.
作者 虞洋 宋周莺 史坤博 YU Yang;SONG Zhouying;SHI Kunbo(Institute of Geographic Sciences and Natural Resources Research/Key Laboratory of Regional Sustainable Development Modeling,CAS,Beijing 100101,China;University of Chinese Academy of Sciences,Beijing 100049,China;Department of Geography,Ghent University,Ghent B-9000,Belgium)
出处 《经济地理》 CSSCI CSCD 北大核心 2019年第9期147-155,共9页 Economic Geography
基金 国家自然科学基金面上项目(41671127、41371006)
关键词 信息流 信息联系 百度指数 社会网络分析 QAP相关分析 信息基础设施 北京—上海—广东 information flow information connection Baidu index social network analysis QAP-correlation analysis information infrastructure Beijing-Shanghai-Guangdong
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