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知识网络结构特征及其对知识流动的影响
  • 期刊名称:科学学与科学技术管理
  • 时间:0
  • 页码:150-155
  • 分类:F062.3[经济管理—政治经济学]
  • 作者机构:[1]南京师范大学地理科学学院,南京210046, [2]华东师范大学资源与环境科学学院,上海200062
  • 相关基金:国家自然科学基金项目(40971069);江苏省高校自然科学基础研究项目(09KJB170001);江苏省教育科学“十一五”规划立项课题(D/2009/01/089)阶段性成果
  • 相关项目:基于知识网络视角的高科技园区产业空间集聚研究- - 以苏南为例
中文摘要:

综述了地理学中知识网络的研究进展,认为目前在知识网络的地理空间尺度、非地理距离的定量计算及知识网络的演化机制等方面的研究有待突破。以知识网络为研究视角,以南京为实证区域,以重庆维普期刊全文数据库中合作发表的化工领域论文统计数据为数据源,基于新经济社会学的社会网络分析等研究理论和方法,运用UCINET和TransCAD软件分析南京化工知识网络的结构,探讨知识网络的组织和空间结构及其对知识传播和交流的影响,发现地理距离对知识流动空间过程的影响仍然存在,社会距离的影响力也不客忽视。

英文摘要:

Knowledge network is a kind of inter-connected network that is born in the process of diffusion and communication of knowledge by the actors who create, transfer, absorb and apply knowledge, such as enterprises, universities, organizations and institutions. This paper at first reviews the research progress of knowledge network, and points out that the further research fields are: the geographical space scale of knowledge network, the calculation of no-geographical .distance, and the evolution mechanisms of knowledge network. Then takes knowledge network as the research perspective, Nanjing as the case study area, statistical data of the papers published in cooperation about the chemical industry in the database of Chinese Scientific and Technical Journals (Journal of Chongqing VIP) methods of social network analysis in New Economic Sociology, as the data source. Based on the theory and we use UCINET and TransCAD to analyze the organizational and spatial structure of knowledge network of Nanjing ,;heroical industry, and its impact on the knowledge flows. This study reveals: colleges/ universities play a leading role in 1) the the knowledge network is a loose multi-core network, knowledge exchange; 2) in the national level the and spatial distribution of knowledge network is denser in North China and sparser in South China. In the Yangtze Delta level the nodes of knowledge network are concentrate on Shanghai, Nanjing, Hangzhou, and other cities which along the railway line between Shanghai and Nanjing; 3) the impact of geographical distance on knowledge flows still exist. And the impact of social distance on knowledge flows cannot be ignored. Generally, the denser of the knowledge network, the more effective of the link efficiency. Finally this study provides some advice to the Government for policy making of high-tech industry clusters and regional science and technology development.

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