TIBA: A Web Application for the Visual Analysis of Temporal Occurrences, Interactions, and Transitions of Animal Behavior

Nicolai Kraus,Michael Aichem,Karsten Klein,Etienne Lein,Alex Jordan,Falk Schreiber

PLOS COMPUTATIONAL BIOLOGY（2024）

Univ Konstanz | Max Planck Inst Anim Behav

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Abstract

Data in behavioral research is often quantified with event-logging software, generating large data sets containing detailed information about subjects, recipients, and the duration of behaviors. Exploring and analyzing such large data sets can be challenging without tools to visualize behavioral interactions between individuals or transitions between behavioral states, yet software that can adequately visualize complex behavioral data sets is rare. TIBA (The Interactive Behavior Analyzer) is a web application for behavioral data visualization, which provides a series of interactive visualizations, including the temporal occurrences of behavioral events, the number and direction of interactions between individuals, the behavioral transitions and their respective transitional frequencies, as well as the visual and algorithmic comparison of the latter across data sets. It can therefore be applied to visualize behavior across individuals, species, or contexts. Several filtering options (selection of behaviors and individuals) together with options to set node and edge properties (in the network drawings) allow for interactive customization of the output drawings, which can also be downloaded afterwards. TIBA accepts data outputs from popular logging software and is implemented in Python and JavaScript, with all current browsers supported. The web application and usage instructions are available at tiba.inf.uni-konstanz.de. The source code is publicly available on GitHub: github.com/LSI-UniKonstanz/tiba.

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【要点】：本文介绍了一种名为TIBA的网页应用，用于可视化分析动物行为的时序发生、个体间互动及其状态转换，以解决行为研究大数据分析难题。

【方法】：TIBA提供了多种互动式可视化工具，包括行为事件的时序分布、个体间互动的次数和方向、行为转换及其频率，并支持跨数据集的比较。

【实验】：论文未具体描述实验过程，但提及TIBA能够接受常用日志软件输出的数据，并通过Python和JavaScript实现，兼容所有主流浏览器。数据集名称未明确提及，应用和说明可在tiba.inf.uni-konstanz.de获取，源代码在GitHub上公开。