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Inequalities in Homophilic Directed ScaleFree Networks

License: Apache License 2.0

Python 7.77% Jupyter Notebook 92.19% TeX 0.05%

random-networks preferential-attachment homophily directed-graph inequalities python3

homophilic_directed_scalefree_networks's Introduction

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

Publications

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

homophilic_directed_scalefree_networks's People

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lisette-espin luke-yuan garlguo richrast madhu221b

homophilic_directed_scalefree_networks's Issues

SALSA Implementation

Hey there!

I have a general question regarding the SALSA implementation you are using here (see screenshot below). I'm struggling to fully comprehend why the part that I highlighted yields the desired output. I've tried mapping this implementation to "textbook descriptions" (e.g., Lempel & Moran 2001) of the algorithm but feel like I'm missing something here.

Would be highly appreciated if you could provide some intuition as to how/why the highlighted part yields the desired output.

Thanks!

Best,
Timo

filenames

network and csv filenames should include gm and gM.
revise code as well with this change

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