Mapping Chinese Diasporic Heritage from Social Media Data with Spatial and Semantic Networks

Research output: Contribution to conferencePaperpeer-review

50 Downloads (Pure)

Abstract

Diasporic communities and their heritage are vital in shaping cultural diversity in urban planning and management. However, diasporic heritage management overlooked cross-geographical networks that constitute cultural significance. This study develops a workflow to explore diasporic heritage’s spatial and semantic networks. Global social media data about Chinatowns on Flickr is collected and analysed through Named Entity Recognition, and Spatial and Semantic Network Analysis. Findings reveal the diasporic flows based on places frequently recognised as origin and destination of Chinese diasporic heritage, and the distribution of places, zooming in from worldwide to the Netherlands. Semantic networks in different Dutch cities are compared.
Original languageEnglish
Number of pages13
Publication statusPublished - 2025
Event19th International Conference on Computational Urban Planning and Urban Management (CUPUM 2025) - UCL, London, United Kingdom
Duration: 23 Jun 202527 Jun 2025
https://www.ucl.ac.uk/bartlett/casa/about/cupum-2025

Conference

Conference19th International Conference on Computational Urban Planning and Urban Management (CUPUM 2025)
Country/TerritoryUnited Kingdom
CityLondon
Period23/06/2527/06/25
Internet address

Keywords

  • diasporic heritage
  • Chinatown
  • social media data
  • spatial network
  • semantic network

Fingerprint

Dive into the research topics of 'Mapping Chinese Diasporic Heritage from Social Media Data with Spatial and Semantic Networks'. Together they form a unique fingerprint.

Cite this