Drosophila social network analysis

Python pipeline for Drosophila melanogaster social network analysis from trajectorial data

The module is being used on data obtained by monitoring Drosophila melanogaster populations and social interaction networks are being created from track data.

Example of video recording:

Complex networks features

• Static and snapshot network construction
• Static and dynamic analysis of the networks
• Global measures through time
• Comparison of measures between graphs from the same treatment
• Comparison of several treatments
• Centrality measures distribution

Data processing features

• Functions for loading, validating, and preprocessing data.
• Functions for creating trajectory descriptors and ML features.
• Population analysis, distances and angles between individuals from the trajectory

How to use?

1. Install needed packages:

   virtualenv .venv

   pip install -r requirements.txt

2. Add tracking data to .data/trackings/<treatment name>

3. Check configs/main.toml for START, END, ARENA_DIAMETER, FPS.

4. Create configuration in configs/trackings/<treatment_name>.toml values for angle, degree and time which are the criteria for determining edges in networks.

5. Run __main__.py from ./src, all results will be saved to ./data/results

Join us

The project is open-source and aims to create research tools. If you are interested in development, feel free to contact us or just fork the repo.

Data format

How dataframe should look like?