IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0051903.html
   My bibliography  Save this article

Joint Modeling of Multiple Social Networks to Elucidate Primate Social Dynamics: I. Maximum Entropy Principle and Network-Based Interactions

Author

Listed:
  • Stephanie Chan
  • Hsieh Fushing
  • Brianne A Beisner
  • Brenda McCowan

Abstract

In a complex behavioral system, such as an animal society, the dynamics of the system as a whole represent the synergistic interaction among multiple aspects of the society. We constructed multiple single-behavior social networks for the purpose of approximating from multiple aspects a single complex behavioral system of interest: rhesus macaque society. Instead of analyzing these networks individually, we describe a new method for jointly analyzing them in order to gain comprehensive understanding about the system dynamics as a whole. This method of jointly modeling multiple networks becomes valuable analytical tool for studying the complex nature of the interaction among multiple aspects of any system. Here we develop a bottom-up, iterative modeling approach based upon the maximum entropy principle. This principle is applied to a multi-dimensional link-based distributional framework, which is derived by jointly transforming the multiple directed behavioral social network data, for extracting patterns of synergistic inter-behavioral relationships. Using a rhesus macaque group as a model system, we jointly modeled and analyzed four different social behavioral networks at two different time points (one stable and one unstable) from a rhesus macaque group housed at the California National Primate Research Center (CNPRC). We report and discuss the inter-behavioral dynamics uncovered by our joint modeling approach with respect to social stability.

Suggested Citation

  • Stephanie Chan & Hsieh Fushing & Brianne A Beisner & Brenda McCowan, 2013. "Joint Modeling of Multiple Social Networks to Elucidate Primate Social Dynamics: I. Maximum Entropy Principle and Network-Based Interactions," PLOS ONE, Public Library of Science, vol. 8(2), pages 1-12, February.
  • Handle: RePEc:plo:pone00:0051903
    DOI: 10.1371/journal.pone.0051903
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0051903
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0051903&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0051903?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
    ---><---

    References listed on IDEAS

    as
    1. Jessica C. Flack & Michelle Girvan & Frans B. M. de Waal & David C. Krakauer, 2006. "Policing stabilizes construction of social niches in primates," Nature, Nature, vol. 439(7075), pages 426-429, January.
    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. Simon DeDeo, 2016. "Conflict and Computation on Wikipedia: A Finite-State Machine Analysis of Editor Interactions," Future Internet, MDPI, vol. 8(3), pages 1-23, July.
    2. Michael Foley & Rory Smead & Patrick Forber & Christoph Riedl, 2021. "Avoiding the bullies: The resilience of cooperation among unequals," PLOS Computational Biology, Public Library of Science, vol. 17(4), pages 1-18, April.
    3. Heller, William B. & Sieberg, Katri K., 2010. "Honor among thieves: Cooperation as a strategic response to functional unpleasantness," European Journal of Political Economy, Elsevier, vol. 26(3), pages 351-362, September.
    4. Marosán, György, 2007. "A proszociális értékek evolúciója a játékelméleti kísérletek tükrében [The evolution of pro-social values, in the light of game-theory experiments]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(7), pages 716-733.
    5. Jordán, Ferenc, 2022. "The network perspective: Vertical connections linking organizational levels," Ecological Modelling, Elsevier, vol. 473(C).
    6. Jessica L Barker & Pat Barclay & H Kern Reeve, 2013. "Competition over Personal Resources Favors Contribution to Shared Resources in Human Groups," PLOS ONE, Public Library of Science, vol. 8(3), pages 1-9, March.
    7. Simon DeDeo & David C Krakauer & Jessica C Flack, 2010. "Inductive Game Theory and the Dynamics of Animal Conflict," PLOS Computational Biology, Public Library of Science, vol. 6(5), pages 1-16, May.
    8. Michael Kings & Josh J. Arbon & Guillam E. McIvor & Martin Whitaker & Andrew N. Radford & Jürgen Lerner & Alex Thornton, 2023. "Wild jackdaws can selectively adjust their social associations while preserving valuable long-term relationships," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    9. Daizaburo Shizuka & Allison E Johnson & Leigh Simmons, 2020. "How demographic processes shape animal social networks," Behavioral Ecology, International Society for Behavioral Ecology, vol. 31(1), pages 1-11.
    10. Chris Knight, 2008. "Language co-evolved with the rule of law," Mind & Society: Cognitive Studies in Economics and Social Sciences, Springer;Fondazione Rosselli, vol. 7(1), pages 109-128, June.
    11. Derek Murphy & Hannah S Mumby & Michelle D Henley & Andrea Griffin, 2020. "Age differences in the temporal stability of a male African elephant (Loxodonta africana) social network," Behavioral Ecology, International Society for Behavioral Ecology, vol. 31(1), pages 21-31.
    12. Freya Harrison & James Sciberras & Richard James, 2011. "Strength of Social Tie Predicts Cooperative Investment in a Human Social Network," PLOS ONE, Public Library of Science, vol. 6(3), pages 1-7, March.
    13. Eleanor R Brush & David C Krakauer & Jessica C Flack, 2013. "A Family of Algorithms for Computing Consensus about Node State from Network Data," PLOS Computational Biology, Public Library of Science, vol. 9(7), pages 1-17, July.
    14. Sueur, Cédric & Piermattéo, Anthony & Pelé, Marie, 2021. "Eye image effect in the context of pedestrian safety: a French questionnaire study," OSF Preprints d6w7v, Center for Open Science.

    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:plo:pone00:0051903. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.