Power-laws in dog behavior may pave the way to predictive models: A pattern analysis study.

ABSTRACT: Apparently random events in nature often reveal hidden patterns when analyzed using diverse and robust statistical tools. Power law distributions, for example, project diverse natural phenomenon, ranging from earthquakes to heartbeat dynamics into a common platform of self-similarity. Animal behavior in specific contexts has been shown to follow power law distributions. However, the behavioral repertoire of a species in its entirety has never been analyzed for the existence of such underlying patterns. Here we show that the frequency-rank data of randomly sighted behaviors at the population level of free-ranging dogs follow a scale-invariant power law behavior. It suggests that irrespective of changes in location of sightings, seasonal variations and observer bias, datasets exhibit a conse

SUBMITTER: Banerjee A 

PROVIDER: S-EPMC8239746 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature