Analysis of sparse animal social networks DOI Creative Commons
Helen K. Mylne, Jackie Abell, Colin M. Beale

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 1, 2024

Abstract Low-density social networks can be common in animal societies, even among species generally considered to highly social. Social network analysis is commonly used analyse societal structure, but edge weight (strength of association between two individuals) estimation methods designed for dense produce biased measures when applied low-density networks. Frequentist suffer data availability low, because they contain an inherent flat prior that will accept any possible value, and no uncertainty their output. Bayesian alternative priors, so provide more reliable weights include a measure uncertainty, only reduce bias sensible values are selected. Currently, neither accounts zero-inflation, estimates towards stronger associations than the true network, which seen through diagnostic plots quality against output estimate. We address this by adding zero-inflation model, demonstrate process using group-based from population male African savannah elephants. show approach performs better frequentist caused these problems, though requires careful consideration priors. recommend use framework, with conditional allows modelling zero-inflation. This reflects fact derivation two-step process: i) probability ever interacting, ii) frequency interaction those who do. Additional priors could added where biology it, example society strong community such as female elephants kin structure would create additional levels clustering. Although was inspired reducing observed sparse networks, it have value all densities.

Language: Английский

Highly precise community science annotations of video camera‐trapped fauna in challenging environments DOI Creative Commons
Mimi Arandjelovic,

Colleen Stephens,

Paula Dieguez

et al.

Remote Sensing in Ecology and Conservation, Journal Year: 2024, Volume and Issue: unknown

Published: June 24, 2024

Abstract As camera trapping grows in popularity and application, some analytical limitations persist including processing time accuracy of data annotation. Typically images are recorded by traps although videos becoming increasingly collected even though they require much more for To overcome with image annotation, trap studies linked to community science (CS) platforms. Here, we extend previous work on CS annotations from a challenging environment; dense tropical forest low visibility high occlusion due thick canopy cover bushy undergrowth at the level. Using platform Chimp&See, established classification 599 956 video clips Africa, assess annotation precision comparing 13 531 1‐min professional ecologist (PE) output 1744 registered, as well unregistered, Chimp&See scientists. We considered 29 categories, 17 species 12 higher‐level which phenotypically similar were grouped. Overall, was 95.4%, increased 98.2% when aggregating groups together. Our findings demonstrate competence scientists working environments hold great promise future animal behaviour, interaction dynamics population monitoring.

Language: Английский

Citations

4
Sex differences in positional behavior of chimpanzees (Pan troglodytes schweinfurthii) living in the dry and open habitat of Issa Valley, Tanzania DOI Creative Commons
Rhianna C. Drummond‐Clarke, Tracy L. Kivell,

Lauren Sarringhaus

et al.

American Journal of Physical Anthropology, Journal Year: 2024, Volume and Issue: 185(3)

Published: July 26, 2024

Many early fossil hominins are associated with savanna-mosaic paleohabitats, and high sexual dimorphism that may reflect differences in positional behavior between sexes. However, reconstructions of hominin the selective pressures they faced an open habitat limited by a lack studies extant apes living contemporary, analogous habitats. Here, we describe adult chimpanzee Issa Valley, Tanzania, to test whether chimpanzees show larger sex-differences than their forest-dwelling counterparts.

Language: Английский

Citations

1
Analysis of sparse animal social networks DOI Creative Commons
Helen K. Mylne, Jackie Abell, Colin M. Beale

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 1, 2024

Abstract Low-density social networks can be common in animal societies, even among species generally considered to highly social. Social network analysis is commonly used analyse societal structure, but edge weight (strength of association between two individuals) estimation methods designed for dense produce biased measures when applied low-density networks. Frequentist suffer data availability low, because they contain an inherent flat prior that will accept any possible value, and no uncertainty their output. Bayesian alternative priors, so provide more reliable weights include a measure uncertainty, only reduce bias sensible values are selected. Currently, neither accounts zero-inflation, estimates towards stronger associations than the true network, which seen through diagnostic plots quality against output estimate. We address this by adding zero-inflation model, demonstrate process using group-based from population male African savannah elephants. show approach performs better frequentist caused these problems, though requires careful consideration priors. recommend use framework, with conditional allows modelling zero-inflation. This reflects fact derivation two-step process: i) probability ever interacting, ii) frequency interaction those who do. Additional priors could added where biology it, example society strong community such as female elephants kin structure would create additional levels clustering. Although was inspired reducing observed sparse networks, it have value all densities.

Language: Английский

Citations

0