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YE Xinyue, GONG Junfang, LI Shengwen. Analyzing Asymmetric City Connectivity by Toponym on Social Media in China[J]. Chinese Geographical Science, 2021, 31(1): 14-26. doi: 10.1007/s11769-020-1172-6
Citation: YE Xinyue, GONG Junfang, LI Shengwen. Analyzing Asymmetric City Connectivity by Toponym on Social Media in China[J]. Chinese Geographical Science, 2021, 31(1): 14-26. doi: 10.1007/s11769-020-1172-6
shu

Analyzing Asymmetric City Connectivity by Toponym on Social Media in China

doi: 10.1007/s11769-020-1172-6

  • 1. Department of Landscape Architecture and Urban Planning Texas A&M University, College Station, TX 77843 USA;

  • 2. School of Geography and Information Engineering, China University of Geosciences, Wuhan 430074, China;

  • 3. Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources, Shenzhen 518034, China

Funds:

Under the auspices of National Natural Science Foundation of China (No. 41801378, 42071382), the Open Fund of Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources (No. KF-2019-04-033)

  • Received Date: 2019-12-25
  • The connectedness between cities has become one of the most widely discussed topics in urban and regional research in the mobile and big data era. One problem identified is the asymmetric city connectivity, partially due to data availability. We present a data-driven approach based on location and toponym (place name) extracted from social media data, to assess the asymmetric connectivity between cities. The assumption is that a higher frequency of occurrences of the name of city i in posts located in city j would imply that the city i is more influential than other cities upon city j. In addition, we’ve developed a group of measurements such as the relatedness index, impact index, link strength index, dependence index, and structure similar index to characterize such interactions. This framework of connectivity measurements can also be used to support smart planning taking into account the evolving interplay among cities. The space-time structure of urban systems in China is examined as the case study.
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Analyzing Asymmetric City Connectivity by Toponym on Social Media in China

doi: 10.1007/s11769-020-1172-6
  • 1. Department of Landscape Architecture and Urban Planning Texas A&M University, College Station, TX 77843 USA;
  • 2. School of Geography and Information Engineering, China University of Geosciences, Wuhan 430074, China;
  • 3. Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources, Shenzhen 518034, China
Funds:

Under the auspices of National Natural Science Foundation of China (No. 41801378, 42071382), the Open Fund of Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources (No. KF-2019-04-033)

  • Received Date: 2019-12-25

Abstract: The connectedness between cities has become one of the most widely discussed topics in urban and regional research in the mobile and big data era. One problem identified is the asymmetric city connectivity, partially due to data availability. We present a data-driven approach based on location and toponym (place name) extracted from social media data, to assess the asymmetric connectivity between cities. The assumption is that a higher frequency of occurrences of the name of city i in posts located in city j would imply that the city i is more influential than other cities upon city j. In addition, we’ve developed a group of measurements such as the relatedness index, impact index, link strength index, dependence index, and structure similar index to characterize such interactions. This framework of connectivity measurements can also be used to support smart planning taking into account the evolving interplay among cities. The space-time structure of urban systems in China is examined as the case study.

YE Xinyue, GONG Junfang, LI Shengwen. Analyzing Asymmetric City Connectivity by Toponym on Social Media in China[J]. Chinese Geographical Science, 2021, 31(1): 14-26. doi: 10.1007/s11769-020-1172-6
Citation: YE Xinyue, GONG Junfang, LI Shengwen. Analyzing Asymmetric City Connectivity by Toponym on Social Media in China[J]. Chinese Geographical Science, 2021, 31(1): 14-26. doi: 10.1007/s11769-020-1172-6
shu

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