Exploring animal behaviour multilayer networks in immersive environments - a conceptual framework

被引：1

作者：

Feyer, Stefan Paul ^{[1
]}

Pinaud, Bruno ^{[2
]}

Klein, Karsten ^{[1
]}

Lein, Etienne ^{[3
]}

Schreiber, Falk ^{[1
,4
]}

机构：

[1] Univ Konstanz, Dept Comp & Informat Sci, Constance, Germany

[2] Univ Bordeaux, CNRS, Bordeaux INP, LaBRI,UMR 5800, Bordeaux, France

[3] Max Planck Inst Anim Behav, Behav Evolut Lab, Constance, Germany

[4] Monash Univ, Fac Informat Technol, Clayton, Australia

来源：

JOURNAL OF INTEGRATIVE BIOINFORMATICS | 2024年 / 21卷 / 03期

关键词：

multilayer networks; animal behaviour; network visualisation; immersive analytics; software concept; VISUALIZATION; TOOL; 3D;

D O I：

10.1515/jib-2024-0022

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

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.

引用

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