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Understanding Geographical Space with Big Data: A Network Perspective

机译:网络视角下的大数据地理空间理解

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摘要

This paper used China's urban clusters as case studies, and a model of the information network was constructed using Baidu index search data. In this model, the urban clusters were considered nodes, and the search intensity between them were regarded as edges. Based on complex network theory and city flow theory, the structure of geographical space was visualized in the form of a network. Analysis results show that, first, the network density of the core contact is only at 3.62%, and 69.2% of the connection strengths between urban clusters are relatively weak on a national scale. Next, the abilities of absorbing information are greater than those of giving off for more developed urban clusters. Last, compared with the ability of giving off information, the variability of absorption is more obvious for all 24 urban clusters. Based on these conclusions, we analyzed spatial influences from the perspective of urban flows and present strategies with space optimization.
机译:本文以中国城市群为案例研究,并利用百度索引搜索数据构建了信息网络模型。在该模型中,将城市群视为节点,并将它们之间的搜索强度视为边。基于复杂网络理论和城市流量理论,地理网络的结构以网络形式可视化。分析结果表明,首先,核心联系的网络密度仅为3.62%,在全国范围内,城市集群之间的连接强度的69.2%相对较弱。其次,吸收信息的能力要大于为较发达的城市群发放信息的能力。最后,与释放信息的能力相比,在所有24个城市群中,吸收的变化更为明显。基于这些结论,我们从城市流动的角度分析了空间影响,并提出了空间优化策略。

著录项

  • 来源
    《Journal of digital information management》 |2015年第5期|354-360|共7页
  • 作者单位

    School of Civil Engineering, Central South University Changsha 410004, China;

    School of Architecture and Urban Planning, Central South University Changsha 410004, China;

    School of Information Science and Engineering, Central South University Changsha 410083, China,Department of Psychiatry Columbia University College of Physicians and Surgeons New York, NY 10032, USA;

    School of Architecture and Urban Planning, Central South University Changsha 410004, China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    geographical space; urban clusters; big data; complex networkyenetwork structure;

    机译:地理空间;城市群;大数据;复杂的网络;

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