Network-based diffusion analysis explained

Network-based diffusion analysis (NBDA) is a statistical tool to detect and quantify social transmission of information or a behaviour in social networks (SNA, etc.). NBDA assumes that social transmission of a behavior follows the social network of associations or interactions among individuals, since individuals who spend a lot of time together, or who interact more have more opportunity to learn from each other.[1] Therefore, NBDA infers social transmission if the spread of a novel behavior follows the social network of a population. NBDA thus allows the study of social learning to be linked to animal behavior research that uses social network analysis. NBDA was introduced by Franz & Nunn[2] and further developed by Hoppitt, Boogert, & Laland.[3]

Implementation

NBDA requires prior knowledge about the underlying social network of a population. In an observational study, the order (or timing) at which individuals in the population acquire a behaviour or information is recorded. NBDA then tests whether the spread of information or behaviour is explained by the previously determined network or not. Because more closely associated individuals are more likely to interact with each other, information is assumed to travel along social ties. If there is a good match between the diffusion of information and the underlying network social transmission is assumed. Otherwise, it is assumed that information was asocially acquired (e.g. trial and error, mistakes, etc.).

Application

NBDA does not only serve as a tool for the detection of social learning, but also allows the estimation of the strength of the social transmission effect. In addition, several individual-level variables can be included in the analysis, which have potential influence on an individual's learning rate (e.g. gender, rank or age), and can also be used to model the effect of, and statistically control for potential ecological and genetic influences. NBDA has been successfully used in a number of studies to identify and quantify the effects of social transmission on the spread of behaviors in both wild and captive animal populations such as starlings, chimpanzees[4] or humpback whales.[5]

Examples

External links

Notes and References

  1. 1995-01-01. On the relation between social dynamics and social learning . Animal Behaviour. 50. 6. 1441–1453. 10.1016/0003-3472(95)80001-8. 0003-3472. Coussi-Korbel. Sabine. Fragaszy. Dorothy M. 53184734 .
  2. FRANZ. M.. NUNN. C. L.. 2009 . Rapid evolution of social learning . Journal of Evolutionary Biology. 22. 9. 1914–1922. 10.1111/j.1420-9101.2009.01804.x. 19702889. 1010-061X. free.
  3. Hoppitt. William. Boogert. Neeltje J.. Laland. Kevin N.. April 2010. Detecting social transmission in networks . Journal of Theoretical Biology. 263. 4. 544–555. 10.1016/j.jtbi.2010.01.004. 20064530. 2010JThBi.263..544H . 0022-5193.
  4. Hobaiter. Catherine. Poisot. Timothée. Zuberbühler. Klaus. Hoppitt. William. Gruber. Thibaud. 2014-09-30. Social Network Analysis Shows Direct Evidence for Social Transmission of Tool Use in Wild Chimpanzees. PLOS Biology. 12. 9. e1001960. 10.1371/journal.pbio.1001960. 1545-7885. 4181963. 25268798 . free .
  5. Allen. Jenny. Weinrich. Mason. Hoppitt. Will. Rendell. Luke. 2013-04-26. Network-Based Diffusion Analysis Reveals Cultural Transmission of Lobtail Feeding in Humpback Whales. Science. 340. 6131. 485–488. 10.1126/science.1231976. 0036-8075. 23620054. 2013Sci...340..485A. 206546227.
  6. Aplin. Lucy M.. Farine. Damien R.. Morand-Ferron. Julie. Cockburn. Andrew. Thornton. Alex. Sheldon. Ben C.. 2014-12-03. Experimentally induced innovations lead to persistent culture via conformity in wild birds. Nature. 518. 7540. 538–541. 10.1038/nature13998. 25470065. 4344839. 0028-0836.