IDEAS home Printed from https://ideas.repec.org/a/spr/qualqt/v54y2020i2d10.1007_s11135-019-00942-1.html
   My bibliography  Save this article

Political culture: a theory in search for methodology. An editorial

Author

Listed:
  • Camelia Florela Voinea

    (University of Bucharest)

  • Martin Neumann

    (Johannes Gutenberg University Mainz)

Abstract

No abstract is available for this item.

Suggested Citation

  • Camelia Florela Voinea & Martin Neumann, 2020. "Political culture: a theory in search for methodology. An editorial," Quality & Quantity: International Journal of Methodology, Springer, vol. 54(2), pages 335-360, April.
    • Handle: RePEc:spr:qualqt:v:54:y:2020:i:2:d:10.1007_s11135-019-00942-1
    DOI: 10.1007/s11135-019-00942-1
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11135-019-00942-1
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11135-019-00942-1?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. Pateman, Carole, 1971. "Political Culture, Political Structure and Political Change," British Journal of Political Science, Cambridge University Press, vol. 1(3), pages 291-305, July.
    2. Rainer Hegselmann & Ulrich Krause, 2002. "Opinion Dynamics and Bounded Confidence Models, Analysis and Simulation," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 5(3), pages 1-2.
    3. Joshua M. Epstein & Robert L. Axtell, 1996. "Growing Artificial Societies: Social Science from the Bottom Up," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262550253, April.
    4. Sakamoto, Takuto, 2013. "Conflict Analysis in Virtual States (CAVS): A New Experimental Method Based on the Extensive Use of Multi-Agent Simulation (MAS) and Geographical Information System (GIS)," Working Papers 56, JICA Research Institute.
    5. Guillaume Deffuant & David Neau & Frederic Amblard & Gérard Weisbuch, 2000. "Mixing beliefs among interacting agents," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 3(01n04), pages 87-98.
    6. Lipset, Seymour Martin, 1959. "Some Social Requisites of Democracy: Economic Development and Political Legitimacy1," American Political Science Review, Cambridge University Press, vol. 53(1), pages 69-105, March.
    7. Andreas Flache & Michael Mäs & Thomas Feliciani & Edmund Chattoe-Brown & Guillaume Deffuant & Sylvie Huet & Jan Lorenz, 2017. "Models of Social Influence: Towards the Next Frontiers," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 20(4), pages 1-2.
    8. Jan Lorenz & Martin Neumann, 2018. "Opinion Dynamics And Collective Decisions," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 21(06n07), pages 1-9, September.
    9. Eckstein, Harry, 1988. "A Culturalist Theory of Political Change," American Political Science Review, Cambridge University Press, vol. 82(3), pages 789-804, September.
    10. Wildavsky, Aaron, 1987. "Choosing Preferences by Constructing Institutions: A Cultural Theory of Preference Formation," American Political Science Review, Cambridge University Press, vol. 81(1), pages 3-21, March.
    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. Camelia Florela Voinea & Martin Neumann & Klaus G. Troitzsch, 2023. "The State and the Citizen: Overview of a complex relationship from a paradigmatic perspective," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(1), pages 1-17, April.

    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. Camelia Florela Voinea, 2020. "Political culture research: dilemmas and trends. Prologue to the special issue," Quality & Quantity: International Journal of Methodology, Springer, vol. 54(2), pages 361-382, April.
    2. Guillaume Deffuant & Ilaria Bertazzi & Sylvie Huet, 2018. "The Dark Side Of Gossips: Hints From A Simple Opinion Dynamics Model," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 21(06n07), pages 1-20, September.
    3. G Jordan Maclay & Moody Ahmad, 2021. "An agent based force vector model of social influence that predicts strong polarization in a connected world," PLOS ONE, Public Library of Science, vol. 16(11), pages 1-42, November.
    4. Deffuant, Guillaume & Roubin, Thibaut, 2023. "Emergence of group hierarchy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 611(C).
    5. Deffuant, Guillaume & Roubin, Thibaut, 2022. "Do interactions among unequal agents undermine those of low status?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 592(C).
    6. Weimer, Christopher W. & Miller, J.O. & Hill, Raymond R. & Hodson, Douglas D., 2022. "An opinion dynamics model of meta-contrast with continuous social influence forces," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 589(C).
    7. Takesue, Hirofumi, 2023. "Relative opinion similarity leads to the emergence of large clusters in opinion formation models," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 622(C).
    8. Christian Ganser & Marc Keuschnigg, 2018. "Social Influence Strengthens Crowd Wisdom Under Voting," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 21(06n07), pages 1-23, September.
    9. Luo, Yun & Li, Yuke & Sun, Chudi & Cheng, Chun, 2022. "Adapted Deffuant–Weisbuch model with implicit and explicit opinions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 596(C).
    10. Mitja Steinbacher & Matjaž Steinbacher & Clemens Knoppe, 2024. "Opinion Dynamics with Preference Matching: How the Desire to Meet Facilitates Opinion Exchange," Computational Economics, Springer;Society for Computational Economics, vol. 64(2), pages 735-768, August.
    11. Jan Lorenz & Martin Neumann, 2018. "Opinion Dynamics And Collective Decisions," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 21(06n07), pages 1-9, September.
    12. Maciel, Marcelo V. & Martins, André C.R., 2020. "Ideologically motivated biases in a multiple issues opinion model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 553(C).
    13. Dinkelberg, Alejandro & MacCarron, Pádraig & Maher, Paul J. & Quayle, Michael, 2021. "Homophily dynamics outweigh network topology in an extended Axelrod’s Cultural Dissemination Model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 578(C).
    14. Pádraig MacCarron & Paul J Maher & Susan Fennell & Kevin Burke & James P Gleeson & Kevin Durrheim & Michael Quayle, 2020. "Agreement threshold on Axelrod’s model of cultural dissemination," PLOS ONE, Public Library of Science, vol. 15(6), pages 1-13, June.
    15. Khalil, Nagi, 2021. "Approach to consensus in models of continuous-opinion dynamics: A study inspired by the physics of granular gases," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 572(C).
    16. Cui, Peng-Bi, 2023. "Exploring the foundation of social diversity and coherence with a novel attraction–repulsion model framework," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 618(C).
    17. Pedraza, Lucía & Pinasco, Juan Pablo & Semeshenko, Viktoriya & Balenzuela, Pablo, 2023. "Mesoscopic analytical approach in a three state opinion model with continuous internal variable," Chaos, Solitons & Fractals, Elsevier, vol. 168(C).
    18. Lourdes ROJAS RUBIO, 2022. "Inequality, Corruption and Support for Democracy," THEMA Working Papers 2022-20, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    19. Shang, Lihui & Zhao, Mingming & Ai, Jun & Su, Zhan, 2021. "Opinion evolution in the Sznajd model on interdependent chains," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 565(C).
    20. 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.

    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:spr:qualqt:v:54:y:2020:i:2:d:10.1007_s11135-019-00942-1. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.