Your browser doesn't support javascript.
loading
Exploring animal behaviour multilayer networks in immersive environments - a conceptual framework.
Feyer, Stefan Paul; Pinaud, Bruno; Klein, Karsten; Lein, Etienne; Schreiber, Falk.
Affiliation
  • Feyer SP; Department of Computer and Information Science, 26567 University of Konstanz , Konstanz, Germany.
  • Pinaud B; University of Bordeaux, CNRS, Bordeaux INP, LaBRI, UMR 5800, Bordeaux, France.
  • Klein K; Department of Computer and Information Science, 26567 University of Konstanz , Konstanz, Germany.
  • Lein E; Behavioural Evolution Lab, Max Planck Institute of Animal Behavior, Konstanz, Germany.
  • Schreiber F; Department of Computer and Information Science, 26567 University of Konstanz , Konstanz, Germany.
J Integr Bioinform ; 2024 Jul 24.
Article de En | MEDLINE | ID: mdl-39054747
ABSTRACT
Animal behaviour is often modelled as networks, where, for example, the nodes are individuals of a group and the edges represent behaviour within this group. Different types of behaviours or behavioural categories are then modelled as different yet connected networks which form a multilayer network. Recent developments show the potential and benefit of multilayer networks for animal behaviour research as well as the potential benefit of stereoscopic 3D immersive environments for the interactive visualisation, exploration and analysis of animal behaviour multilayer networks. However, so far animal behaviour research is mainly supported by libraries or software on 2D desktops. Here, we explore the domain-specific requirements for (stereoscopic) 3D environments. Based on those requirements, we provide a proof of concept to visualise, explore and analyse animal behaviour multilayer networks in immersive environments.
Mots clés

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Langue: En Journal: J Integr Bioinform Sujet du journal: INFORMATICA MEDICA Année: 2024 Type de document: Article Pays d'affiliation: Allemagne

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Langue: En Journal: J Integr Bioinform Sujet du journal: INFORMATICA MEDICA Année: 2024 Type de document: Article Pays d'affiliation: Allemagne