RESEARCH ARTICLE
City Influence Network: Mining and Analyzing the Influence of Chinese Cities Based on Social Media
Lihua Wang,
Shengyi Jiang,
Lihua Wang
Faculty of Data Science, City University of Macau, Macau SAR, China
Search for more papers by this authorCorresponding Author
Shengyi Jiang
Faculty of Data Science, City University of Macau, Macau SAR, China
School of Information Technology & Engineering, Guangzhou College of Commerce, Guangzhou, China
Correspondence:
Shengyi Jiang ([email protected])
Search for more papers by this authorLihua Wang,
Shengyi Jiang,
Lihua Wang
Faculty of Data Science, City University of Macau, Macau SAR, China
Search for more papers by this authorCorresponding Author
Shengyi Jiang
Faculty of Data Science, City University of Macau, Macau SAR, China
School of Information Technology & Engineering, Guangzhou College of Commerce, Guangzhou, China
Correspondence:
Shengyi Jiang ([email protected])
Search for more papers by this authorABSTRACT
There have been very few studies done on measuring the influence of all prefecture-level cities on a national scale due to the limited availability of public data, challenges in data collection, and insufficient data comprehensiveness. In this paper, we aim to fill this gap by investigating this problem in China. We first collected 692,859 news articles spanning one full year from the WeChat Official Accounts of 339 cities and Taiwan Province, which served as our study area and dataset. Then, we developed a city extractor module to reduce the ambiguity of place names and constructed a city interaction network. Then, we modeled the City Influence Index (CII) and the intensity of its influence. Finally, we proposed an analytical framework that examines the relationship between CII and Gross Domestic Product (GDP), compares it with the Global Cities Index, conducts influence analysis of cities at different levels, and more. The experimental results demonstrate that our analytical framework can effectively measure the influence of cities on a national scale and uncover the implicit relationships between cities. In doing so, our study offers a new perspective for measuring city influence. Code is available at: https://github.com/vczero/CII.
Conflicts of Interest
The authors declare no conflicts of interest.
Open Research
Data Availability Statement
The data that support the findings of this study are available from the corresponding author upon reasonable request.
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