IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v401y2019icp69-74.html
   My bibliography  Save this article

Inferring animal social networks with imperfect detection

Author

Listed:
  • Gimenez, Olivier
  • Mansilla, Lorena
  • Klaich, M. Javier
  • Coscarella, Mariano A.
  • Pedraza, Susana N.
  • Crespo, Enrique A.

Abstract

Social network analysis provides a powerful tool for understanding social organisation of animals. However, in free-ranging populations, it is almost impossible to monitor exhaustively the individuals of a population and to track their associations. Ignoring the issue of imperfect and possibly heterogeneous individual detection can lead to substantial bias in standard network measures. Here, we develop capture-recapture models to analyse network data while accounting for imperfect and heterogeneous detection. We carry out a simulation study to validate our approach. In addition, we show how the visualisation of networks and the calculation of standard metrics can account for detection probabilities. The method is illustrated with data from a population of Commerson’s dolphin (Cephalorhynchus commersonii) in Patagonia Argentina. Our approach provides a step towards a general statistical framework for the analysis of social networks of wild animal populations.

Suggested Citation

  • Gimenez, Olivier & Mansilla, Lorena & Klaich, M. Javier & Coscarella, Mariano A. & Pedraza, Susana N. & Crespo, Enrique A., 2019. "Inferring animal social networks with imperfect detection," Ecological Modelling, Elsevier, vol. 401(C), pages 69-74.
    • Handle: RePEc:eee:ecomod:v:401:y:2019:i:c:p:69-74
    DOI: 10.1016/j.ecolmodel.2019.04.001
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380019301309
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ecolmodel.2019.04.001?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. Nina Luisa Santostasi & Silvia Bonizzoni & Giovanni Bearzi & Lavinia Eddy & Olivier Gimenez, 2016. "A Robust Design Capture-Recapture Analysis of Abundance, Survival and Temporary Emigration of Three Odontocete Species in the Gulf of Corinth, Greece," PLOS ONE, Public Library of Science, vol. 11(12), pages 1-21, December.
    2. Roger Pradel, 2005. "Multievent: An Extension of Multistate Capture–Recapture Models to Uncertain States," Biometrics, The International Biometric Society, vol. 61(2), pages 442-447, June.
    3. Klaich, M. Javier & Kinas, Paul G. & Pedraza, Susana N. & Coscarella, Mariano A. & Crespo, Enrique A., 2011. "Estimating dyad association probability under imperfect and heterogeneous detection," Ecological Modelling, Elsevier, vol. 222(15), pages 2642-2650.
    4. Gimenez, Olivier & Lebreton, Jean-Dominique & Gaillard, Jean-Michel & Choquet, Rémi & Pradel, Roger, 2012. "Estimating demographic parameters using hidden process dynamic models," Theoretical Population Biology, Elsevier, vol. 82(4), pages 307-316.
    5. Gimenez, Olivier & Rossi, Vivien & Choquet, Rémi & Dehais, Camille & Doris, Blaise & Varella, Hubert & Vila, Jean-Pierre & Pradel, Roger, 2007. "State-space modelling of data on marked individuals," Ecological Modelling, Elsevier, vol. 206(3), pages 431-438.
    6. Butts, Carter T., 2008. "Social Network Analysis with sna," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 24(i06).
    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. Meritxell Genovart & Roger Pradel, 2019. "Transience effect in capture-recapture studies: The importance of its biological meaning," PLOS ONE, Public Library of Science, vol. 14(9), pages 1-13, September.
    2. Choquet, Rémi & Garnier, Alexandre & Awuve, Edem & Besnard, Aurélien, 2017. "Transient state estimation using continuous-time processes applied to opportunistic capture–recapture data," Ecological Modelling, Elsevier, vol. 361(C), pages 157-163.
    3. Bird, Tomas & Lyon, Jarod & Wotherspoon, Simon & King, Ruth & McCarthy, Michael, 2017. "Accounting for false mortality in telemetry tag applications," Ecological Modelling, Elsevier, vol. 355(C), pages 116-125.
    4. Louvrier, Julie & Chambert, Thierry & Marboutin, Eric & Gimenez, Olivier, 2018. "Accounting for misidentification and heterogeneity in occupancy studies using hidden Markov models," Ecological Modelling, Elsevier, vol. 387(C), pages 61-69.
    5. Gimenez, Olivier & Lebreton, Jean-Dominique & Gaillard, Jean-Michel & Choquet, Rémi & Pradel, Roger, 2012. "Estimating demographic parameters using hidden process dynamic models," Theoretical Population Biology, Elsevier, vol. 82(4), pages 307-316.
    6. Oliver, Lauren J. & Morgan, Byron J.T. & Durant, Sarah M. & Pettorelli, Nathalie, 2011. "Individual heterogeneity in recapture probability and survival estimates in cheetah," Ecological Modelling, Elsevier, vol. 222(3), pages 776-784.
    7. Juhwan Kim & Sunghae Jun & Dongsik Jang & Sangsung Park, 2018. "Sustainable Technology Analysis of Artificial Intelligence Using Bayesian and Social Network Models," Sustainability, MDPI, vol. 10(1), pages 1-12, January.
    8. Samrachana Adhikari & Beau Dabbs, 2018. "Social Network Analysis in R: A Software Review," Journal of Educational and Behavioral Statistics, , vol. 43(2), pages 225-253, April.
    9. Kanu, Edmond Augustine & Henning, Christian H. C. A., 2019. "An assessment of land reform policy processes in Sierra Leone: A network based approach," Working Papers of Agricultural Policy WP2019-04, University of Kiel, Department of Agricultural Economics, Chair of Agricultural Policy.
    10. Sigourney, Douglas B. & Munch, Stephan B. & Letcher, Benjamin H., 2012. "Combining a Bayesian nonparametric method with a hierarchical framework to estimate individual and temporal variation in growth," Ecological Modelling, Elsevier, vol. 247(C), pages 125-134.
    11. Liberati, Caterina & Marzo, Massimiliano & Zagaglia, Paolo & Zappa, Paola, 2012. "Structural distortions in the Euro interbank market: the role of 'key players' during the recent market turmoil," MPRA Paper 40223, University Library of Munich, Germany.
    12. Leona Leišová-Svobodová & Sebastian Michel & Ilmar Tamm & Marie Chourová & Dagmar Janovska & Heinrich Grausgruber, 2019. "Diversity and Pre-Breeding Prospects for Local Adaptation in Oat Genetic Resources," Sustainability, MDPI, vol. 11(24), pages 1-15, December.
    13. Maria Cristiana Martini & Elvira Pelle & Francesco Poggi & Andrea Sciandra, 2022. "The role of citation networks to explain academic promotions: an empirical analysis of the Italian national scientific qualification," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(10), pages 5633-5659, October.
    14. Taffi, Marianna & Paoletti, Nicola & Liò, Pietro & Pucciarelli, Sandra & Marini, Mauro, 2015. "Bioaccumulation modelling and sensitivity analysis for discovering key players in contaminated food webs: The case study of PCBs in the Adriatic Sea," Ecological Modelling, Elsevier, vol. 306(C), pages 205-215.
    15. Frank Rijnsoever & Leon Welle & Sjoerd Bakker, 2014. "Credibility and legitimacy in policy-driven innovation networks: resource dependencies and expectations in Dutch electric vehicle subsidies," The Journal of Technology Transfer, Springer, vol. 39(4), pages 635-661, August.
    16. Lan, Jing & Liu, Zhen, 2019. "Social network effect on income structure of SLCP participants: Evidence from Baitoutan Village, China," Forest Policy and Economics, Elsevier, vol. 106(C), pages 1-1.
    17. Caterina Liberati & Massimiliano Marzo & Paolo Zagaglia & Paola Zappa, 2015. "Drivers of demand and supply in the Euro interbank market: the role of “Key Players” during the recent turmoil," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 29(3), pages 207-250, August.
    18. Valente, Thomas W. & Dyal, Stephanie R. & Chu, Kar-Hai & Wipfli, Heather & Fujimoto, Kayo, 2015. "Diffusion of innovations theory applied to global tobacco control treaty ratification," Social Science & Medicine, Elsevier, vol. 145(C), pages 89-97.
    19. Nunes, Matthew, 2015. "Statistical Analysis of Network Data with R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 66(b01).
    20. Roland Langrock & Thomas Kneib & Alexander Sohn & Stacy L. DeRuiter, 2015. "Nonparametric inference in hidden Markov models using P-splines," Biometrics, The International Biometric Society, vol. 71(2), pages 520-528, June.

    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:ecomod:v:401:y:2019:i:c:p:69-74. 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/ecological-modelling .

    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.