Measuring social network influence on power relations in collaborative planning: A case study of Beijing City, China

Junyao He, Yanliu Lin*, Pieter Hooimeijer, Jochen Monstadt

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Social media has recently become a networked public sphere for social interactions and power struggles in planning practice. However, little research has been done to understand the impact of social media on power relations in collaborative planning. This study uses the Bell and Drum Tower planning practice in Beijing as a case study to elaborate on whether and how social media empowers citizens, experts, and third parties to influence decision-making and promote a communicative planning process. It develops a mixed-methods approach that combines web scraping, social network analysis, and interviews to examine networked power generated by social media. It applies the three dimensions of a network (structure, symmetry, and strength) to measure new forms of power imbalances. The findings show that experts and journalists hold a significant amount of networked power and that social actors can enhance their influence by managing and controlling information flows. Power inequalities exist in the networked public sphere but shift away from governments to other actors, yet without jeopardizing the ultimate decision-making on the ground by the government. This study bridges the gap between network power theory and network science, turning the metaphor of network power into an evidence-based analysis based on a quantitative approach.
Original languageEnglish
Article number104866
Number of pages12
JournalCities
Volume148
Early online date10 Feb 2024
DOIs
Publication statusPublished - May 2024

Bibliographical note

Publisher Copyright:
© 2024 The Authors

Funding

This work has been funded by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program (grant agreement No 947879 ).

FundersFunder number
European Research Council
Horizon 2020947879

    Keywords

    • Collaborative planning
    • Network power
    • Power relation
    • Social media
    • Social network analysis

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