English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Zendy Plus

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Zendy Tools

Zendy Open

The social structure of an animal population can often influence movement andinform researchers on a species' behavioral tendencies. Animal social networkscan be studied through movement data; however, modern sources of data can haveidentification issues that result in multiply-labeled individuals. Since allavailable social movement models rely on unique labels, we extend an existingBayesian hierarchical movement model in a way that makes use of a latent socialnetwork and accommodates multiply-labeled movement data (MLMD). We apply ourmodel to drone-measured movement data from Risso's dolphins (Grampus griseus)and estimate the effects of sonar exposure on the dolphins' social structure.Our proposed framework can be applied to MLMD for various social movementapplications.

Detecting changes in dynamic social networks using multiply-labeled movement data