IDEAS home Printed from https://ideas.repec.org/a/oup/beheco/v27y2016i3p912-919..html
   My bibliography  Save this article

Comparing pre- and post-copulatory mate competition using social network analysis in wild crickets

Author

Listed:
  • David N. Fisher
  • Rolando Rodríguez-Muñoz
  • Tom Tregenza

Abstract

Lay Summary In many animals, males compete for fertilizations both before and after mating. But do males specialize in 1 type of competition? And do physical fights between males lead to less competition between their ejaculates within females? We studied competitions between wild crickets by building networks of interactions. We found that males that had more fights were more likely to meet in sperm competition, suggesting that evolution will not favor specialists in one of the 2 types of competition.Twitter: @DFofFreedom

Suggested Citation

  • David N. Fisher & Rolando Rodríguez-Muñoz & Tom Tregenza, 2016. "Comparing pre- and post-copulatory mate competition using social network analysis in wild crickets," Behavioral Ecology, International Society for Behavioral Ecology, vol. 27(3), pages 912-919.
    • Handle: RePEc:oup:beheco:v:27:y:2016:i:3:p:912-919.
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/beheco/arv236
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    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. 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)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Bani-Yaghoub, Majid & Reed, Aaron, 2018. "A methodology to quantify the long-term changes in social networks of competing species," Ecological Modelling, Elsevier, vol. 368(C), pages 147-157.
    2. Mario Gallego-Abenza & Nicolas Mathevon & David Wheatcroft & Ulrika Candolin, 2020. "Experience modulates an insect’s response to anthropogenic noise," Behavioral Ecology, International Society for Behavioral Ecology, vol. 31(1), pages 90-96.
    3. Tom Tregenza & Petri T Niemelä & Rolando Rodríguez-Muñoz & Paul E Hopwood, 2022. "Environment and mate attractiveness in a wild insect [Female pied flycatchers choose territory quality and not male characteristics]," Behavioral Ecology, International Society for Behavioral Ecology, vol. 33(5), pages 999-1006.

    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. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. Caterina Liberati & Massimiliano Marzo & Paolo Zagaglia & Paola Zappa, 2012. "Structural Distortions in the Euro Interbank Market: The Role of 'Key Players' during the Recent Market Turmoil," Working Paper series 57_12, Rimini Centre for Economic Analysis.
    8. van Rijnsoever, Frank J. & van den Berg, Jesse & Koch, Joost & Hekkert, Marko P., 2015. "Smart innovation policy: How network position and project composition affect the diversity of an emerging technology," Research Policy, Elsevier, vol. 44(5), pages 1094-1107.
    9. Konda, Bruhan & González‐Sauri, Mario & Cowan, Robin & Yashodha, Yashodha & Chellattan Veettil, Prakashan, 2021. "Social networks and agricultural performance: A multiplex analysis of interactions among Indian rice farmers," MERIT Working Papers 2021-030, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    10. Rauktis, Mary E. & McCarthy, Sharon & Krackhardt, David & Cahalane, Helen, 2010. "Innovation in child welfare: The adoption and implementation of Family Group Decision Making in Pennsylvania," Children and Youth Services Review, Elsevier, vol. 32(5), pages 732-739, May.
    11. Håvard Bergesen Dalen & Ørnulf Seippel, 2021. "Friends in Sports: Social Networks in Leisure, School and Social Media," IJERPH, MDPI, vol. 18(12), pages 1-15, June.
    12. Jaehyun Choi & Dongsik Jang & Sunghae Jun & Sangsung Park, 2015. "A Predictive Model of Technology Transfer Using Patent Analysis," Sustainability, MDPI, vol. 7(12), pages 1-21, December.
    13. Brantley, Meredith & Schumacher, Christina & Fields, Errol L. & Perin, Jamie & Safi, Amelia Greiner & Ellen, Jonathan M. & Muvva, Ravikiran & Chaulk, Patrick & Jennings, Jacky M., 2017. "The network structure of sex partner meeting places reported by HIV-infected MSM: Opportunities for HIV targeted control," Social Science & Medicine, Elsevier, vol. 182(C), pages 20-29.
    14. Babak Abedin & Abdul Babar, 2018. "Institutional vs. Non-institutional use of Social Media during Emergency Response: A Case of Twitter in 2014 Australian Bush Fire," Information Systems Frontiers, Springer, vol. 20(4), pages 729-740, August.
    15. 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.
    16. Claudine Pereira Salgado & Vivian Sebben Adami & Jorge Renato de Souza Verschoore Filho & Cristiano Machado Costa, 2023. "Board of Directors’ Interlocks: A Social Network Analysis Tutorial," RAC - Revista de Administração Contemporânea (Journal of Contemporary Administration), ANPAD - Associação Nacional de Pós-Graduação e Pesquisa em Administração, vol. 27(Vol. 27 N), pages 210286-2102.
    17. 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.
    18. 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.
    19. 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.
    20. 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.

    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:oup:beheco:v:27:y:2016:i:3:p:912-919.. 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: Oxford University Press (email available below). General contact details of provider: https://academic.oup.com/beheco .

    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.