Homophilic & Directed scale-free networks

Inequality and Inequity in Network-based Ranking and Recommendation Algorithms

Notebooks

#	Description	Launch in Binder
1	Example: Inquality and Inequity in ranking
2	Datasets: Empirical metworks
3	Model: Generating Random, DPA, DH and DPAH networks
4	Paper: Main plots
5	Paper: Supplementary material

Inequality and Inequity in Network-based Ranking and Recommendation Algorithms Lisette Espín-Noboa, Claudia Wagner, Markus Strohmaier and Fariba Karimi. Sci Rep 12, 2012 (2022). https://doi.org/10.1038/s41598-022-05434-1
Towards Quantifying Sampling Bias in Network Inference. Lisette Espín-Noboa, Fariba Karimi, Markus Strohmaier and Claudia Wagner. In LatinX in AI workshop at ICML. https://icml.cc/virtual/2020//7094

Name		Name	Last commit message	Last commit date
Latest commit History 77 Commits
data		data
org/gesis		org/gesis
results		results
.gitattributes		.gitattributes
.gitignore		.gitignore
0. Toy-example.ipynb		0. Toy-example.ipynb
1. Empirical Networks.ipynb		1. Empirical Networks.ipynb
2. Synthetic Networks.ipynb		2. Synthetic Networks.ipynb
3. Plots in paper.ipynb		3. Plots in paper.ipynb
4. Supplementary material.ipynb		4. Supplementary material.ipynb
LICENSE		LICENSE
README.md		README.md
batch_fit.py		batch_fit.py
batch_netmeta.py		batch_netmeta.py
batch_network.py		batch_network.py
batch_nodemeta.py		batch_nodemeta.py
batch_ranking.py		batch_ranking.py
citation.cff		citation.cff
requirements.txt		requirements.txt