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中国网络信息流的空间结构模式分析
引用本文:董志良,路紫,白翠玲.中国网络信息流的空间结构模式分析[J].地球信息科学,2005,7(3):5-11.
作者姓名:董志良  路紫  白翠玲
作者单位:1. 河北师范大学资源与环境学院,石家庄 050016; 2. 石家庄经济学院商学院石家庄 050031
摘    要:信息流在社会空间结构研究,尤其是在城市空间结构研究中占据越来越重要的地位,本文以CERNET的数据为基础,分析了信息流的等级结构和流动模式,揭示了我国互联网网络结构的空间特征,并对其未来的发展变化提出了初步的设想以及对未来研究方向和方法的一些建议。

关 键 词:信息流  吸引力因子  扩散力因子  网络结构  
收稿时间:2004-04-19
修稿时间:2005-04-20

The Spacial Character of Chinese Network's Framework--Take CERNET as an Example
DONG Zhiliang,LU Zi,BAI Cuiling.The Spacial Character of Chinese Network's Framework--Take CERNET as an Example[J].Geo-information Science,2005,7(3):5-11.
Authors:DONG Zhiliang  LU Zi  BAI Cuiling
Institution:1. College of Resource and Environment Science, Hebei Normal University, Shijiazhuang 050016, China; 2. Shijiazhuang University of Economics , Shijiazhuang 050031, China
Abstract:The research of info-flow is more and more important in the research of the social spacial framework, especially, the city's spacial framework. The CERNET's data is the foundation of text, which is used to analyze the framework's grade and flow mode of info-flow, then reveal the spacial character of Chinese Internet's framework at present, and advance simple assumption to the Net-framework's proposals in the future, and some proposals to the orientation and method of the research in the future. This paper uses the central city' s attraction and diffusivity factors to reflect the attraction and the diffusivi- ty. The attraction factor: Xi=1+∑(Rki /∑Ok); and the diffusivity factor:Yi=1+∑(Oik/∑Rk).From the two factors, we can determine the city's current grade and can get the CERNET's advantage and the disadvantage of the structure. This paper considers this structure as "tricycle mode". According to this mode advices are raised in order to improve the environment of network and to decrease area differentiation, and to drive the regions development in info way and to meet the requirement for regional development, and make the driving force to periphery more powerful and the info' s flow more unobstructed, so as to improve the usability of the network.
Keywords:info-flow  attraction factor  diffusivity factor  net-framework
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