Skip to content

Research at St Andrews

Conformity biased transmission in social networks

Research output: Contribution to journalArticlepeer-review

Abstract

In this paper we explore how the structure of a population can differentially influence the spread of novel behaviors, depending on the learning strategy of each individual. We use a series of simulations to analyze how frequency dependent learning rules might affect how easily novel behaviors can spread through a population on four artificial social networks, and three real social networks. We measured the likelihood that a novel behavior could spread through the population, and the likelihood that there were multiple behavioral variants in the population, a measure of cultural diversity. Surprisingly, we find few differences between networks on either measure. However, we do find that where a behavior originated on a network can have a substantial impact on the likelihood that it spreads, and that this location effect depends on the learning strategy of an individual. These results suggest that for first-order analysis of how behaviors spread through a population, social network structure can be ignored, but that the social network structure may be useful for more fine-tuned analyses and predictions.
Close

Details

Original languageEnglish
Pages (from-to)542-549
Number of pages8
JournalJournal of Theoretical Biology
Volume380
Early online date30 Jun 2015
DOIs
Publication statusPublished - 7 Sep 2015

    Research areas

  • Social networks, Conformity, Cultural transmission

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

View graph of relations

Related by author

  1. Ecological and behavioural drivers of offspring size in marine teleost fishes

    Vanadzina, K., Phillips, A., Martins, B., Laland, K. N., Webster, M. M. & Sheard, C., 18 Sep 2021, (E-pub ahead of print) In: Global Ecology and Biogeography. Early View, 13 p.

    Research output: Contribution to journalArticlepeer-review

  2. 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

  3. 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

  4. 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

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. 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

  3. 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

  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

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

ID: 208973363

Top