地理研究 ›› 2016, Vol. 35 ›› Issue (1): 137-147.doi: 10.11821/dlyj201601012

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基于信息流的互联网信息空间网络分析

王宁宁1,2(), 陈锐1(), 赵宇1   

  1. 1. 中国科学院大学,北京 100190
    2. 中国科学院科技政策与管理科学研究所,北京 100190
  • 收稿日期:2015-06-04 修回日期:2015-10-28 出版日期:2016-01-23 发布日期:2016-01-23
  • 作者简介:

    作者简介:王宁宁(1988- ),女,山东烟台人,博士研究生,主要研究方向为城市运行管理与城市复杂网络。E-mail: wangningningustb@163.com

  • 基金资助:
    国家科技支撑计划项目(2012BAK27B00);国家质检公益性科技计划专项课题(Y300571801);中国科学院重大任务专项(Y201161Z04)

Analysis of the provincial information space network basted on the internet information flow

Ningning WANG1,2(), Rui CHEN1(), Yu ZHAO1   

  1. 1. University of Chinese Academy of Sciences, Beijing 100190, China
    2. Institute of Policy and Management, CAS, Beijing 100190, China
  • Received:2015-06-04 Revised:2015-10-28 Online:2016-01-23 Published:2016-01-23

摘要:

信息化、网络化和全球化不断扩展加深了信息要素对于区域发展的作用,因此基于信息要素视角下的信息空间研究有助于政府管理部门为信息化发展和信息产业的布局提供科学的决策。从信息流的角度出发,建立了基于互联网信息流要素的信息空间测度方法,采用复杂网络分析方法深入探讨区域信息空间的格局和分布特征。研究发现,信息空间呈现“异质”发展趋势,省份的信息影响力呈现“东—中—西”三层递减态势。国家发展战略对信息空间的格局分布具有一定的影响作用。中东部省份中,北京、上海和广东省连接了中国南北以及东部地区,形成稳定的“三角格局”,现阶段中国的信息空间格局并没有完全脱离地理空间的制约,在一定程度上依然部分依赖于地域分布。

关键词: 信息空间, 复杂网络, 社会网络分析, 信息流

Abstract:

Informatization, networking and globalization have intensified the important role of information elements to the regional development, and therefore research on information space from the perspective of information element is significant to regional information development and can help the government make scientific decisions for information development and information industrial layout. In this paper, a new method of information space measurement based on internet information flow is established. According to the new method, information spatial networks respectively based on internet flow rate and flow speed are discussed and complex network analysis is used to explore the character of information space distribution pattern. With the tool of social network analysis, overall network structure, cohesiveness and centrality are researched. Thus, the provincial information loop, information nuclear and information field are identified in this paper. Furthermore, the whole network model, the trunk network model and the backbone network model are respectively discussed. Some core and important provinces are found out from the perspective of the hub - network. Some results can be obtained as follows. The information space shows a "heterogeneous" trend, decreasing from east to west. The information influence of provinces presents an eastern-central-western tiered decreasing trend. The core provinces of the information space are mainly located in the eastern coastal developed regions, which are the potential area of the information development. National development strategies such as the integrated development strategy of Beijing, Tianjin and Hebei and the reconstruction of the Silk Road have a certain influence on the spatial distribution pattern of information space. Beijing, Tianjin, the Yangtze River Delta and Pearl River Delta regions are the core area of information space. What's more, some eastern provinces and Beijing, Shanghai and Guangzhou connect the north, the south and east of China, which forms a stable "triangle pattern". As the backbone of the western provinces, Sichuan and Inner Mongolia cross the western region from the south to the north, driving the development of western information space with the pattern models of "one axis and two dots". At the same time, the powerful mobility of information space makes up the separatist nature of physical space, weakening the constraints of space and artificial isolation, reducing the communication costs and improving the accessibility in the traditional sense. However, we find that the information spatial pattern of China at this stage is not completely out of the constraints of geographical space, but, to a certain extent, still partly dependent on geographical distribution.

Key words: information space, complex network, social network analysis, information flow