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The Simmel effect and babies’ names

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  • Krawczyk, M.J.
  • Dydejczyk, A.
  • Kułakowski, K.

Abstract

Simulations of the Simmel effect are performed for agents in a scale-free social network. The social hierarchy of an agent is determined by the degree of his/her node. Particular features, once selected by a highly connected agent, become common in lower classes but soon fall out of fashion and become extinct. Numerical results reflect the dynamics of frequency of American babies’ names in 1880–2011.

Suggested Citation

  • Krawczyk, M.J. & Dydejczyk, A. & Kułakowski, K., 2014. "The Simmel effect and babies’ names," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 395(C), pages 384-391.
    • Handle: RePEc:eee:phsmap:v:395:y:2014:i:c:p:384-391
    DOI: 10.1016/j.physa.2013.10.018
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    References listed on IDEAS

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    1. Katarzyna Sznajd-Weron & Józef Sznajd, 2000. "Opinion Evolution In Closed Community," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 11(06), pages 1157-1165.
    2. Fu, Feng & Liu, Lianghuan & Wang, Long, 2008. "Empirical analysis of online social networks in the age of Web 2.0," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(2), pages 675-684.
    3. Lambiotte, R. & Ausloos, M., 2006. "Endo- vs. exogenous shocks and relaxation rates in book and music “sales”," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 362(2), pages 485-494.
    4. Serge Galam, 2008. "Sociophysics: A Review Of Galam Models," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 19(03), pages 409-440.
    5. S. Huet & G. Deffuant & W. Jager, 2008. "A Rejection Mechanism In 2d Bounded Confidence Provides More Conformity," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 11(04), pages 529-549.
    6. Tao Zhou & Matúš Medo & Giulio Cimini & Zi-Ke Zhang & Yi-Cheng Zhang, 2011. "Emergence of Scale-Free Leadership Structure in Social Recommender Systems," PLOS ONE, Public Library of Science, vol. 6(7), pages 1-6, July.
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    Cited by:

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    3. Ausloos, Marcel, 2021. "Hagiotoponyms in France: Saint popularity, like a herding phase transition," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 566(C).

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