IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v503y2018icp170-176.html
   My bibliography  Save this article

Culinary evolution models for Indian cuisines

Author

Listed:
  • Jain, Anupam
  • Bagler, Ganesh

Abstract

Culinary systems, the practice of preparing a refined combination of ingredients that is palatable as well as socially acceptable, are examples of complex dynamical systems. They evolve over time and are affected by a large number of factors. Modeling the dynamic nature of evolution of regional cuisines may provide us a quantitative basis and exhibit underlying processes that have driven them into the present day status. This is especially important given that the potential culinary space is practically infinite because of possible number of ingredient combinations as recipes. Such studies also provide a means to compare and contrast cuisines and to unearth their therapeutic value. Herein we provide rigorous analysis of modeling eight diverse Indian regional cuisines, while also highlighting their uniqueness, and a comparison among those models at the level of flavor compounds which opens up molecular level studies associating them especially with non-communicable diseases such as diabetes.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:phsmap:v:503:y:2018:i:c:p:170-176
    DOI: 10.1016/j.physa.2018.02.176
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437118302656
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

    File URL: https://libkey.io/10.1016/j.physa.2018.02.176?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ping Zhang & Xin Wei & Guirong Mao, 2024. "Cultural diversity, social integration, and migrant entrepreneurship—evidence from the China migrants dynamic survey," Small Business Economics, Springer, vol. 62(3), pages 1135-1155, March.
    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. 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.
    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.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:phsmap:v:503:y:2018:i:c:p:170-176. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.