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Digital Humanities, Complexity Sciences and the Modeling of Ancient Greek Culture

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  • Laurent Gauthier

    (LED - Laboratoire d'Economie Dionysien - UP8 - Université Paris 8 Vincennes-Saint-Denis, CAC-IXXI, Complex Systems Institute)

Abstract

While the quantitative modeling of history has relied on stylized facts and game theoretical models, we argue that relying on complexity sciences, one can directly exploit the primary sources made available in digitized form. We focus on ancient Greece and, concentrating on the generating mechanisms for various large-scale textual sources, in a complexity sciences perspective, we consider how distinct constraints and objectives lead to measurable differences between judicial speeches, poetry, and epigraphic texts, for example. We also show how people's names and naming strategies exhibit patterns consistent with a high degree of conformity. Finally, we show that the condensed religious formulae the Greeks used to address their gods share the features of a language.

Suggested Citation

  • Laurent Gauthier, 2024. "Digital Humanities, Complexity Sciences and the Modeling of Ancient Greek Culture," Working Papers hal-03315002, HAL.
  • Handle: RePEc:hal:wpaper:hal-03315002
    Note: View the original document on HAL open archive server: https://univ-paris8.hal.science/hal-03315002v3
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    File URL: https://univ-paris8.hal.science/hal-03315002v3/document
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    References listed on IDEAS

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    1. Michaël C Waumans & Thibaut Nicodème & Hugues Bersini, 2015. "Topology Analysis of Social Networks Extracted from Literature," PLOS ONE, Public Library of Science, vol. 10(6), pages 1-30, June.
    2. Alfarano, Simone & Lux, Thomas, 2010. "Extreme value theory as a theoretical background for power law behavior," Kiel Working Papers 1648, Kiel Institute for the World Economy (IfW Kiel).
    3. Laurent Gauthier, 2021. "Putting Clio Back in Cliometrics," Working Papers hal-03289608, HAL.
    4. Claude Diebolt & Michael Haupert (ed.), 2019. "Handbook of Cliometrics," Springer Books, Springer, edition 2, number 978-3-030-00181-0, January.
    5. Matthew O. Jackson & Brian W. Rogers, 2007. "Meeting Strangers and Friends of Friends: How Random Are Social Networks?," American Economic Review, American Economic Association, vol. 97(3), pages 890-915, June.
    6. Laurent Gauthier, 2022. "Putting Clio Back in Cliometrics," Post-Print hal-03289608, HAL.
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    Cited by:

    1. Laurent Gauthier, 2021. "The Cliometrics of Onomastics: Modeling Who's Who in Ancient Greece," Working Papers hal-03370259, HAL.

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    More about this item

    Keywords

    Ancient Greece; complexity; power laws; networks;
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