https://github.com/poisotlab/econetworkslabs
Computer labs and notebooks for the upcoming book "Practical Analysis of Ecological Networks"
https://github.com/poisotlab/econetworkslabs
ecological-network ecology jupyter-notebook open-educational-resources
Last synced: 23 days ago
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Computer labs and notebooks for the upcoming book "Practical Analysis of Ecological Networks"
- Host: GitHub
- URL: https://github.com/poisotlab/econetworkslabs
- Owner: PoisotLab
- Created: 2019-09-09T13:18:10.000Z (almost 7 years ago)
- Default Branch: master
- Last Pushed: 2019-11-12T02:01:36.000Z (over 6 years ago)
- Last Synced: 2024-05-02T06:13:34.151Z (about 2 years ago)
- Topics: ecological-network, ecology, jupyter-notebook, open-educational-resources
- Language: Jupyter Notebook
- Homepage:
- Size: 158 KB
- Stars: 2
- Watchers: 3
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Practical Analysis of Ecological Networks
This repository contains a series of notebooks corresponding to the chapter of the in progress "Practical Analysis of Ecological Networks", and the lessons of the BIO3043/BIO6037 class at the Université de Montréal
## How to use the lessons
[](https://mybinder.org/v2/gh/PoisotLab/EcoNetworksLabs/master)
## Plan
| Section | Title | Main concepts | Launch |
|:-------:| ------------------------------------ | ------------- |:------:|
| 1 | Link-species scaling law | | |
| 2 | Connectance and degree distribution | | [:arrow_forward:](https://mybinder.org/v2/gh/PoisotLab/EcoNetworksLabs/master?filepath=02_connectance_degree.ipynb) |
| 3 | Motifs and centrality | | [:arrow_forward:](https://mybinder.org/v2/gh/PoisotLab/EcoNetworksLabs/master?filepath=03_motifs.ipynb) |
| 4 | Nestedness | | |
| 5 | Modularity | | |
| 6 | Null hypothesis significance testing | | [:arrow_forward:](https://mybinder.org/v2/gh/PoisotLab/EcoNetworksLabs/master?filepath=06_nhst.ipynb) |
| 7 | Comparing networks | | [:arrow_forward:](https://mybinder.org/v2/gh/PoisotLab/EcoNetworksLabs/master?filepath=07_comparisons.ipynb) |
| 8 | Probabilistic networks | | |