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成渝城市群网络关注度的空间分异及影响因素——基于抖音粉丝量数据

  • Xiaoni Wu
  • , Weihua Guan*
  • , Hui Zhang
  • , Lianxia Wu
  • *此作品的通讯作者
  • Nanjing Normal University

科研成果: 期刊稿件文章同行评审

摘要

In order to probe into the present situation of regional network attention, taking the amount of Douyin followers in 16 cities of Chengdu-Chongqing urban agglomeration as the measurement index, the spatial differentiation pattern of urban network attention was analyzed by means of spatial correlation and nuclear density analysis, and the influencing factors were discussed by using correlation analysis and geographical weighted regression model. The results show that: ①From the perspective of the spatial differentiation pattern, t whole urban network is uneven, showing the characteristics of dual-core structure and collapse in the central region; the hierarchical division of attention is clear, showing symmetrical distribution up and down. ② From the perspective of the spatial correlation pattern, the Low-Low area of total and average attention is continuously distributed in the southwest, and the significant Low-High area is distributed around Chengdu and Chongqing, and the high value area of per capita level is Ziyang connecting Chengdu and Chongqing. ③From the perspective of spatial agglomeration pattern, the spatial pattern of the total value and average value of attention is similar to the differentiation pattern, and the spatial structure of per capita level is the core-peripheral structure. ④ From the point of view of influencing factors, network attention is positively correlated with economy, network, traffic development, urbanization process and population composition, and its effect has obvious spatial heterogeneity, in order to provide scientific reference for promoting urban vitality and virtual economy in Chengdu and Chongqing.

投稿的翻译标题Spatial differentiation and influencing factors of online attention in Chengdu-Chongqing urban agglomeration: Based on the number of Douyin fans
源语言繁体中文
页(从-至)130-140
页数11
期刊World Regional Studies
32
11
DOI
出版状态已出版 - 15 11月 2023

联合国可持续发展目标

此成果有助于实现下列可持续发展目标:

  1. 可持续发展目标 11 - 可持续城市和社区
    可持续发展目标 11 可持续城市和社区

关键词

  • Chengdu-Chongqing urban agglomeration
  • GWR model
  • internet attention
  • number of Douyin fans
  • spatial pattern

指纹

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