Skip to content

Research at St Andrews

Detecting social transmission in networks

Research output: Contribution to journalArticlepeer-review

Abstract

In recent years researchers have drawn attention to a need for new methods with which to identify the spread of behavioural innovations through social transmission in animal populations. Network-based analyses seek to recognize diffusions mediated by social learning by detecting a correspondence between patterns of association and the flow of information through groups. Here we introduce a new order of acquisition diffusion analysis (OADA) and develop established time of acquisition diffusion analysis (TADA) methods further. Through simulation we compare the merits of these and other approaches, demonstrating that OADA and TADA have greater power and lower Type I error rates than available alternatives, and specifying when each approach should be deployed. We illustrate the new methods by applying them to reanalyse an established dataset corresponding to the diffusion of foraging innovations in starlings, where OADA and TADA detect social transmission that hitherto had been missed. The methods are potentially widely applicable by researchers wishing to detect social learning in natural and captive populations of animals, and to facilitate this we provide code to implement OADA and TADA in the statistical package R.
Close

Details

Original languageEnglish
Pages (from-to)544-555
Number of pages12
JournalJournal of Theoretical Biology
Volume263
Issue number4
DOIs
Publication statusPublished - 21 Apr 2010

Discover related content
Find related publications, people, projects and more using interactive charts.

View graph of relations

Related by author

  1. Understanding Human Cognitive Uniqueness

    Laland, K. & Seed, A., 4 Jan 2021, In: Annual Review of Psychology . 72, 1, p. 689-716 28 p.

    Research output: Contribution to journalArticlepeer-review

  2. Racism in academia, and why the 'little things' matter

    Laland, K. N., 1 Aug 2020, In: Nature. 584, 7822, p. 653-654 2 p.

    Research output: Contribution to journalComment/debatepeer-review

  3. Attentional coordination in demonstrator-observer dyads facilitates learning and predicts performance in a novel manual task

    Pagnotta, M., Laland, K. N. & Coco, M. I., Aug 2020, In: Cognition. 201, 104314.

    Research output: Contribution to journalArticlepeer-review

  4. The role of food transfers in wild golden lion tamarins (Leontopithecus rosalia): support for the informational and nutritional hypothesis

    Troisi, C. A., Hoppitt, W. J. E., Ruiz-Miranda, C. R. & Laland, K. N., 24 Jun 2020, In: Primates. First Online, 15 p.

    Research output: Contribution to journalArticlepeer-review

Related by journal

  1. Journal of Theoretical Biology (Journal)

    Mark Andrew Joseph Chaplain (Editor)

    10 Apr 2017 → …

    Activity: Publication peer-review and editorial work typesEditor of research journal

Related by journal

  1. A novel 3D atomistic-continuum cancer invasion model: in silico simulations of an in vitro organotypic invasion assay

    Franssen, L. C., Sfakianakis, N. & Chaplain, M. A. J., 7 Aug 2021, In: Journal of Theoretical Biology. 522, 14 p., 110677.

    Research output: Contribution to journalArticlepeer-review

  2. Consistency and identifiability of the polymorphism-aware phylogenetic models

    Borges, R. & Kosiol, C., 7 Feb 2020, In: Journal of Theoretical Biology. 486, p. 1-6 6 p., 110074.

    Research output: Contribution to journalArticlepeer-review

  3. Modelling the effects of environmental heterogeneity within the lung on the tuberculosis life-cycle

    Pitcher, M. J., Bowness, R., Dobson, S. A., Eftimie, R. & Gillespie, S. H., 7 Dec 2020, In: Journal of Theoretical Biology. 506, 18 p., 110381.

    Research output: Contribution to journalArticlepeer-review

  4. A theory for investment across defences triggered at different stages of a predator-prey encounter

    Wang, L., Ruxton, G. D., Cornell, S. J., Speed, M. P. & Broom, M., 21 Jul 2019, In: Journal of Theoretical Biology. 473, p. 9-19 11 p.

    Research output: Contribution to journalArticlepeer-review

ID: 461979

Top