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The multiplex relations between cities: a lexicon-based approach to detect urban systems

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  • Wang Tongjing
  • Evert Meijers
  • Huijuan Wang

Abstract

Cities relate to other cities in many ways, and much scholarly effort goes into uncovering those relationships. Building on the principle that strongly related cities will co-occur frequently in texts, we propose a novel method to classify those toponym co-occurrences using a lexicon-based text-mining method. Millions of webpages are analysed to retrieve how 293 Chinese cities are related in terms of six types: industry, information technology, finance, research, culture and government. Each class displays different network patterns, and this multiplexity is mapped and analysed. Further refinement of this lexicon-based approach can revolutionize the study of inter-urban relationships.

Suggested Citation

  • Wang Tongjing & Evert Meijers & Huijuan Wang, 2023. "The multiplex relations between cities: a lexicon-based approach to detect urban systems," Regional Studies, Taylor & Francis Journals, vol. 57(8), pages 1592-1604, August.
    • Handle: RePEc:taf:regstd:v:57:y:2023:i:8:p:1592-1604
    DOI: 10.1080/00343404.2022.2120978
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