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Geography and Similarity of Regional Cuisines in China

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  • Yu-Xiao Zhu
  • Junming Huang
  • Zi-Ke Zhang
  • Qian-Ming Zhang
  • Tao Zhou
  • Yong-Yeol Ahn

Abstract

Food occupies a central position in every culture and it is therefore of great interest to understand the evolution of food culture. The advent of the World Wide Web and online recipe repositories have begun to provide unprecedented opportunities for data-driven, quantitative study of food culture. Here we harness an online database documenting recipes from various Chinese regional cuisines and investigate the similarity of regional cuisines in terms of geography and climate. We find that geographical proximity, rather than climate proximity, is a crucial factor that determines the similarity of regional cuisines. We develop a model of regional cuisine evolution that provides helpful clues for understanding the evolution of cuisines and cultures.

Suggested Citation

  • Yu-Xiao Zhu & Junming Huang & Zi-Ke Zhang & Qian-Ming Zhang & Tao Zhou & Yong-Yeol Ahn, 2013. "Geography and Similarity of Regional Cuisines in China," PLOS ONE, Public Library of Science, vol. 8(11), pages 1-8, November.
    • Handle: RePEc:plo:pone00:0079161
    DOI: 10.1371/journal.pone.0079161
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    Cited by:

    1. Yulin Hswen & Alyssa J. Moran & Siona Prasad & Anna Li & Denise Simon & Lauren Cleveland & Jared B. Hawkins & John S. Brownstein & Jason Block, 2021. "The Federal Menu Labeling Law and Twitter Discussions about Calories in the United States: An Interrupted Time-Series Analysis," IJERPH, MDPI, vol. 18(20), pages 1-11, October.
    2. Ma, Chao & Song, Ze & Sun, Xuhui & Zhao, Guangchuan, 2015. "Will Low-Income Populations Love Spicy Foods More? Accounting for Tastes," MPRA Paper 68415, University Library of Munich, Germany.
    3. Jain, Anupam & Bagler, Ganesh, 2018. "Culinary evolution models for Indian cuisines," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 170-176.
    4. Juan Carlos Sánchez Herrera & Carolyn Dimitri, 2019. "The Role of Clustering in the Adoption of Organic Dairy: A Longitudinal Networks Analysis between 2002 and 2015," Sustainability, MDPI, vol. 11(6), pages 1-19, March.

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