IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v351y2005i2p605-619.html

Fashion, novelty and optimality: an application from Physics

Author

Listed:
  • Galam, Serge
  • Vignes, Annick

Abstract

We apply a physical-based model to describe the clothes fashion market. Every time a new outlet appears on the market, it can invade the market under certain specific conditions. Hence, the “old” outlet can be completely dominated and disappears. Each creator competes for a finite population of agents. Fashion phenomena are shown to result from a collective phenomenon produced by local individual imitation effects. We assume that, in each step of the imitation process, agents only interact with a subset rather than with the whole set of agents. People are actually more likely to influence (and be influenced by) their close “neighbors”. Accordingly, we discuss which strategy is best fitted for new producers when people are either simply organized into anonymous reference groups or when they are organized in social groups hierarchically ordered. While counterfeits are shown to reinforce the first strategy, creating social leaders can permit to avoid them.

Suggested Citation

  • Galam, Serge & Vignes, Annick, 2005. "Fashion, novelty and optimality: an application from Physics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 351(2), pages 605-619.
  • Handle: RePEc:eee:phsmap:v:351:y:2005:i:2:p:605-619
    DOI: 10.1016/j.physa.2004.12.023
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437104015730
    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.2004.12.023?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

    for a different version of it.

    References listed on IDEAS

    as
    1. Galam, Serge, 2004. "Sociophysics: a personal testimony," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 336(1), pages 49-55.
    2. William A. Brock & Steven N. Durlauf, 1995. "Discrete Choice with Social Interactions I: Theory," NBER Working Papers 5291, National Bureau of Economic Research, Inc.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Pérez-Llanos, Mayte & Pinasco, Juan Pablo & Saintier, Nicolas, 2020. "Opinion attractiveness and its effect in opinion formation models," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 559(C).
    2. Estrada, Fernando, 2010. "Los mercados de opinión pública [The markets of public opinion]," MPRA Paper 20161, University Library of Munich, Germany.
    3. Grabisch, Michel & Poindron, Alexis & Rusinowska, Agnieszka, 2019. "A model of anonymous influence with anti-conformist agents," Journal of Economic Dynamics and Control, Elsevier, vol. 109(C).
    4. Barreira da Silva Rocha, André, 2013. "Evolutionary dynamics of nationalism and migration," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(15), pages 3183-3197.
    5. Martins, André C.R. & Pereira, Carlos de B. & Vicente, Renato, 2009. "An opinion dynamics model for the diffusion of innovations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(15), pages 3225-3232.
    6. Sebastian Goncalves & M. F. Laguna & J. R. Iglesias, 2012. "Why, when, and how fast innovations are adopted," Papers 1208.2589, arXiv.org.
    7. Piotr Przybyła & Katarzyna Sznajd-Weron & Rafał Weron, 2014. "Diffusion Of Innovation Within An Agent-Based Model: Spinsons, Independence And Advertising," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 17(01), pages 1-22.
    8. Shin, J.K., 2010. "Tipping news in information accumulation system," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(10), pages 2118-2126.
    9. Andrea Ellero & Giovanni Fasano & Annamaria Sorato, 2008. "A Modified Galam's Model," Working Papers 180, Department of Applied Mathematics, Università Ca' Foscari Venezia.
    10. Ellero, Andrea & Fasano, Giovanni & Sorato, Annamaria, 2009. "A modified Galam’s model for word-of-mouth information exchange," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(18), pages 3901-3910.

    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. Lu, Xi & Mo, Hongming & Deng, Yong, 2015. "An evidential opinion dynamics model based on heterogeneous social influential power," Chaos, Solitons & Fractals, Elsevier, vol. 73(C), pages 98-107.
    2. Kozicki, Sharon & Tinsley, P. A., 2001. "Term structure views of monetary policy under alternative models of agent expectations," Journal of Economic Dynamics and Control, Elsevier, vol. 25(1-2), pages 149-184, January.
    3. Brian Krauth, 2000. "Social Interactions, Thresholds, and Unemployment in Neighborhoods," Econometric Society World Congress 2000 Contributed Papers 1638, Econometric Society.
    4. Jovanovic, Franck & Schinckus, Christophe, 2016. "Breaking down the barriers between econophysics and financial economics," International Review of Financial Analysis, Elsevier, vol. 47(C), pages 256-266.
    5. Victoria Gregory & Julian Kozlowski & Hannah Rubinton, 2022. "The Impact of Racial Segregation on College Attainment in Spatial Equilibrium," Working Papers 2022-036, Federal Reserve Bank of St. Louis, revised 27 Nov 2024.
    6. Muslim, Roni & Mulya, Didi Ahmad & Akbar, Zulkaida & NQZ, Rinto Anugraha, 2024. "The impact of social noise on the majority rule model across various network topologies," Chaos, Solitons & Fractals, Elsevier, vol. 189(P2).
    7. Durlauf,S.N. & Walker,J.R., 1999. "Social interaction and fertility transitions," Working papers 28, Wisconsin Madison - Social Systems.
    8. Situngkir, Hokky, 2011. "Pengertian dari dan untuk ketakmengertian: Social Complexity sebagai cara pandang baru dalam memahami fenomena sosial [Understanding from and to the inability to understand: Social Complexity as a ," MPRA Paper 30871, University Library of Munich, Germany.
    9. Fiona Atkins & Derick Boyd, 1998. "Convergence and the Caribbean," International Review of Applied Economics, Taylor & Francis Journals, vol. 12(3), pages 381-396.
    10. Victor M. Yakovenko, 2007. "Econophysics, Statistical Mechanics Approach to," Papers 0709.3662, arXiv.org, revised Aug 2008.
    11. Bucsa, G. & Jovanovic, F. & Schinckus, C., 2011. "A unified model for price return distributions used in econophysics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(20), pages 3435-3443.
    12. Conlisk, John & Gong, Jyh-Chyi & Tong, Ching H., 2000. "Imitation and the dynamics of norms," Mathematical Social Sciences, Elsevier, vol. 40(2), pages 197-213, September.
    13. Cowan, Robin & Cowan, William, 1998. "Technological Standardization with and without Borders in an Interacting Agents Model," Research Memorandum 015, Maastricht University, Maastricht Economic Research Institute on Innovation and Technology (MERIT).
    14. Dong, Bin & Torgler, Benno, 2012. "Corruption and social interaction: Evidence from China," Journal of Policy Modeling, Elsevier, vol. 34(6), pages 932-947.
    15. R. Kenna & B. Berche, 2011. "Critical mass and the dependency of research quality on group size," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(2), pages 527-540, February.
    16. A. Bassanini & G. Dosi, 1998. "Competing Technologies, International Diffusion and the Rate of Convergence to a Stable Market Structure," Working Papers ir98012, International Institute for Applied Systems Analysis.
    17. Durlauf, S.N., 1997. "Rational Choice and the Study of Science," Working papers 9709r, Wisconsin Madison - Social Systems.
    18. H. Peyton Young & Mary A. Burke, 2001. "Competition and Custom in Economic Contracts: A Case Study of Illinois Agriculture," American Economic Review, American Economic Association, vol. 91(3), pages 559-573, June.
    19. Evangelos Ioannidis & Nikos Varsakelis & Ioannis Antoniou, 2020. "Promoters versus Adversaries of Change: Agent-Based Modeling of Organizational Conflict in Co-Evolving Networks," Mathematics, MDPI, vol. 8(12), pages 1-25, December.

    More about this item

    Keywords

    ;
    ;
    ;

    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:351:y:2005:i:2:p:605-619. 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.