IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0185968.html
   My bibliography  Save this article

Recurrence analysis of ant activity patterns

Author

Listed:
  • Felipe Marcel Neves
  • Ricardo Luiz Viana
  • Marcio Roberto Pie

Abstract

In this study, we used recurrence quantification analysis (RQA) and recurrence plots (RPs) to compare the movement activity of individual workers of three ant species, as well as a gregarious beetle species. RQA and RPs quantify the number and duration of recurrences of a dynamical system, including a detailed quantification of signals that could be stochastic, deterministic, or both. First, we found substantial differences between the activity dynamics of beetles and ants, with the results suggesting that the beetles have quasi-periodic dynamics and the ants do not. Second, workers from different ant species varied with respect to their dynamics, presenting degrees of predictability as well as stochastic signals. Finally, differences were found among minor and major caste of the same (dimorphic) ant species. Our results underscore the potential of RQA and RPs in the analysis of complex behavioral patterns, as well as in general inferences on animal behavior and other biological phenomena.

Suggested Citation

  • Felipe Marcel Neves & Ricardo Luiz Viana & Marcio Roberto Pie, 2017. "Recurrence analysis of ant activity patterns," PLOS ONE, Public Library of Science, vol. 12(10), pages 1-15, October.
  • Handle: RePEc:plo:pone00:0185968
    DOI: 10.1371/journal.pone.0185968
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0185968
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0185968&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0185968?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. Tomas Brodin, 2009. "Behavioral syndrome over the boundaries of life--carryovers from larvae to adult damselfly," Behavioral Ecology, International Society for Behavioral Ecology, vol. 20(1), pages 30-37.
    2. Kayla Sweeney & Brian Cusack & Fawn Armagost & Timothy O’Brien & Carl N. Keiser & Jonathan N. Pruitt, 2013. "Predator and prey activity levels jointly influence the outcome of long-term foraging bouts," Behavioral Ecology, International Society for Behavioral Ecology, vol. 24(5), pages 1205-1210.
    3. J.A. Hołyst & M. Żebrowska & K. Urbanowicz, 2001. "Observations of deterministic chaos in financial time series by recurrence plots, can one control chaotic economy?," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 20(4), pages 531-535, April.
    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. Teresa Aparicio & Dulce Saura, 2013. "Do Exchange Rate Series Present General Dependence? Some Results using Recurrence Quantification Analysis," Journal of Economics and Behavioral Studies, AMH International, vol. 5(10), pages 678-686.
    2. Krishnadas M. & K. P. Harikrishnan & G. Ambika, 2022. "Recurrence measures and transitions in stock market dynamics," Papers 2208.03456, arXiv.org.
    3. Alexander D. M. Wilson & Jens Krause, 2012. "Personality and metamorphosis: is behavioral variation consistent across ontogenetic niche shifts?," Behavioral Ecology, International Society for Behavioral Ecology, vol. 23(6), pages 1316-1323.
    4. Mostafa Shabani & Martin Magris & George Tzagkarakis & Juho Kanniainen & Alexandros Iosifidis, 2022. "Predicting the State of Synchronization of Financial Time Series using Cross Recurrence Plots," Papers 2210.14605, arXiv.org, revised Nov 2022.
    5. Zouhaier Dhifaoui, 2022. "Determinism and Non-linear Behaviour of Log-return and Conditional Volatility: Empirical Analysis for 26 Stock Markets," South Asian Journal of Macroeconomics and Public Finance, , vol. 11(1), pages 69-94, June.
    6. Ata Ozkaya & Omer Altun, 2024. "Domestic and Global Causes for Exchange Rate Volatility: Evidence From Turkey," SAGE Open, , vol. 14(2), pages 21582440241, April.
    7. Annalisa Fabretti, 2022. "A Dynamical Model for Financial Market: Among Common Market Strategies Who and How Moves the Price to Fluctuate, Inflate, and Burst?," Mathematics, MDPI, vol. 10(5), pages 1-17, February.
    8. Chen, Wei-Ching, 2008. "Dynamics and control of a financial system with time-delayed feedbacks," Chaos, Solitons & Fractals, Elsevier, vol. 37(4), pages 1198-1207.
    9. Urbanowicz, Krzysztof & Hołyst, Janusz A., 2004. "Investment strategy due to the minimization of portfolio noise level by observations of coarse-grained entropy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 344(1), pages 284-288.
    10. Geraint Johnes & Alexander Kalinoglou & Ayana Manasova, 2005. "Chaos and the Dancing Stars," Journal of Entrepreneurship and Innovation in Emerging Economies, Entrepreneurship Development Institute of India, vol. 14(1), pages 1-19, March.
    11. Son, Woo-Sik & Park, Young-Jai, 2011. "Delayed feedback on the dynamical model of a financial system," Chaos, Solitons & Fractals, Elsevier, vol. 44(4), pages 208-217.
    12. Morales, Javier & Tercero, Víctor & Camacho-Vallejo, José-Fernando & Cordero, Alvaro E. & López Nerio, Luis E. & Almaguer, F-Javier, 2016. "Trend and fractality assessment of Mexico’s stock exchange," Applied Mathematics and Computation, Elsevier, vol. 285(C), pages 103-113.
    13. M., Krishnadas & Harikrishnan, K.P. & Ambika, G., 2022. "Recurrence measures and transitions in stock market dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 608(P1).
    14. Monia Antar Limam, 2017. "Autosimilarty, Long Memory and Chaos: Evidence from the Tunisian Market," Business and Management Studies, Redfame publishing, vol. 3(2), pages 61-77, June.
    15. Alison Bell, 2013. "Randomized or fixed order for studies of behavioral syndromes?," Behavioral Ecology, International Society for Behavioral Ecology, vol. 24(1), pages 16-20.
    16. Yao, Can-Zhong & Lin, Qing-Wen, 2017. "Recurrence plots analysis of the CNY exchange markets based on phase space reconstruction," The North American Journal of Economics and Finance, Elsevier, vol. 42(C), pages 584-596.
    17. Orlando, Giuseppe & Bufalo, Michele, 2022. "Modelling bursts and chaos regularization in credit risk with a deterministic nonlinear model," Finance Research Letters, Elsevier, vol. 47(PA).

    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:pone00:0185968. 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.