IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v505y2018icp35-48.html
   My bibliography  Save this article

Social crises. A network model approach

Author

Listed:
  • Cárdenas, Juan Pablo
  • Vidal, Gerardo
  • Urbina, Carolina
  • Olivares, Gastón
  • Fuentes, Miguel Angel

Abstract

Crisis, conflict and complexity are concepts that are deeply related in the evolutionary history of social dynamical systems. The spontaneous increase of complexity of adaptive systems, including social systems, entails critical processes where the organization of the system, or part of it, is questioned. In this study we address the phenomenon of social crises through models of society based in networks that combine the increase in complexity with the clash of forces in conflict which could lead to a crisis for the system. The simulations suggest that there is a positive correlation between the increase in the complexity of the system and the emergence of crises as a complex phenomenon itself where its mitigation can have unexpected results.

Suggested Citation

  • Cárdenas, Juan Pablo & Vidal, Gerardo & Urbina, Carolina & Olivares, Gastón & Fuentes, Miguel Angel, 2018. "Social crises. A network model approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 505(C), pages 35-48.
    • Handle: RePEc:eee:phsmap:v:505:y:2018:i:c:p:35-48
    DOI: 10.1016/j.physa.2018.03.031
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437118303510
    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.2018.03.031?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. Marco Bardoscia & Stefano Battiston & Fabio Caccioli & Guido Caldarelli, 2016. "Pathways towards instability in financial networks," Papers 1602.05883, arXiv.org, revised Feb 2017.
    2. Marco Bardoscia & Giacomo Livan & Matteo Marsili, 2012. "Financial instability from local market measures," Papers 1207.0356, arXiv.org, revised Sep 2012.
    3. Aaron Clauset & Maxwell Young & Kristian Skrede Gleditsch, 2007. "On the Frequency of Severe Terrorist Events," Journal of Conflict Resolution, Peace Science Society (International), vol. 51(1), pages 58-87, February.
    4. Marco Bardoscia & Giacomo Livan & Matteo Marsili, 2015. "Statistical mechanics of complex economies," Papers 1511.09203, arXiv.org, revised Apr 2017.
    5. Cárdenas, J.P. & Mouronte, M.L. & Benito, R.M. & Losada, J.C., 2010. "Compatibility as underlying mechanism behind the evolution of networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(8), pages 1789-1798.
    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. Juan Pablo Cárdenas & Gerardo Vidal & Carolina Urbina & Gastón Olivares & Pablo Rodrigo & Miguel Fuentes, 2018. "Social Crises: Signatures of Complexity in a Fast-Growing Economy," Complexity, Hindawi, vol. 2018, pages 1-11, April.
    2. Matteo Coronese & Davide Luzzati, 2022. "Economic impacts of natural hazards and complexity science: a critical review," LEM Papers Series 2022/13, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    3. Demidov, Denis & Frahm, Klaus M. & Shepelyansky, Dima L., 2020. "What is the central bank of Wikipedia?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 542(C).
    4. P'al Andr'as Papp & Roger Wattenhofer, 2020. "Default Ambiguity: Finding the Best Solution to the Clearing Problem," Papers 2002.07741, arXiv.org, revised Oct 2021.
    5. Roncoroni, Alan & Battiston, Stefano & D’Errico, Marco & Hałaj, Grzegorz & Kok, Christoffer, 2021. "Interconnected banks and systemically important exposures," Journal of Economic Dynamics and Control, Elsevier, vol. 133(C).
    6. X. Zhang & L. D. Valdez & H. E. Stanley & L. A. Braunstein, 2019. "Modeling Risk Contagion in the Venture Capital Market: A Multilayer Network Approach," Complexity, Hindawi, vol. 2019, pages 1-11, December.
    7. Fabio Caccioli & Paolo Barucca & Teruyoshi Kobayashi, 2018. "Network models of financial systemic risk: a review," Journal of Computational Social Science, Springer, vol. 1(1), pages 81-114, January.
    8. Luu, Duc Thi & Napoletano, Mauro & Barucca, Paolo & Battiston, Stefano, 2021. "Collateral Unchained: Rehypothecation networks, concentration and systemic effects," Journal of Financial Stability, Elsevier, vol. 52(C).
    9. Gabriele Tedeschi & Fabio Caccioli & Maria Cristina Recchioni, 2020. "Taming financial systemic risk: models, instruments and early warning indicators," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(1), pages 1-7, January.
    10. Caceres-Santos, Jonnathan & Rodriguez-Martinez, Anahi & Caccioli, Fabio & Martinez-Jaramillo, Serafin, 2020. "Systemic risk and other interdependencies among banks in Bolivia," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 1(1).
    11. José Balsa-Barreiro & Aymeric Vié & Alfredo J. Morales & Manuel Cebrián, 2020. "Deglobalization in a hyper-connected world," Palgrave Communications, Palgrave Macmillan, vol. 6(1), pages 1-4, December.
    12. Rafael González-Val, 2016. "War Size Distribution: Empirical Regularities Behind Conflicts," Defence and Peace Economics, Taylor & Francis Journals, vol. 27(6), pages 838-853, November.
    13. De Palma André & Perali Federico & Picard Nathalie & Ricciuti Roberto & Scorbureanu Alexandrina, 2013. "Social Crisis Prevention: A Political Alert Index for the Israel-Palestine Conflict," Peace Economics, Peace Science, and Public Policy, De Gruyter, vol. 19(2), pages 103-122, August.
    14. Valentina Macchiati & Giuseppe Brandi & Tiziana Di Matteo & Daniela Paolotti & Guido Caldarelli & Giulio Cimini, 2022. "Systemic liquidity contagion in the European interbank market," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 17(2), pages 443-474, April.
    15. Baumöhl, Eduard & Bouri, Elie & Hoang, Thi-Hong-Van & Hussain Shahzad, Syed Jawad & Výrost, Tomáš, 2022. "Measuring systemic risk in the global banking sector: A cross-quantilogram network approach," Economic Modelling, Elsevier, vol. 109(C).
    16. Andrew G. Haldane & Arthur E. Turrell, 2019. "Drawing on different disciplines: macroeconomic agent-based models," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 39-66, March.
    17. Yan, Chun & Ding, Yi & Liu, Wei & Liu, Xinhong & Liu, Jiahui, 2023. "Multilayer interbank networks and systemic risk propagation: Evidence from China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 628(C).
    18. Shi, Qing & Sun, Xiaoqi & Jiang, Yile, 2022. "Concentrated commonalities and systemic risk in China's banking system: A contagion network approach," International Review of Financial Analysis, Elsevier, vol. 83(C).
    19. Marco Bardoscia & Ginestra Bianconi & Gerardo Ferrara, 2019. "Multiplex network analysis of the UK over‐the‐counter derivatives market," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 24(4), pages 1520-1544, October.
    20. Niu, Xiaojian & Niu, Xiaoli & Wu, Kexing, 2021. "Implicit government guarantees and the externality of portfolio diversification: A complex network approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 572(C).

    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:505:y:2018:i:c:p:35-48. 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.