NetIn 1.0.7

Includes

1. Sampling
   1. Random Nodes
   2. Random Edges
   3. Random Neighbor
   4. DegreeRank (desc and asc)
   5. DegreeGroupRank (desc and asc)
   6. PartialCrawls
2. Ranking inequalities (stats in netin.stats.ranking, and plots in netin.viz.handlers
   1. Inequality (Gini in top-k)
   2. Inequity (Mean error to parity of fraction of minorities in top-k)
   3. Disparity (inequality vs inequity)
3. Examples in examples/notebooks
   1. sampling
   2. ranking
4. Documentation using sphinx

What's Changed

• Add auto-generated documentation to the project by @mannbach in #2
• Add logo to documentation and README by @mannbach in #5

New Contributors

• @mannbach made their first contribution in #2

Full Changelog: netin-1.0.5...netin-1.0.7

NetIn 1.0.5

Alpha version, includes:

[MODELS]

1. Undirected
   1.1. PA (Barabasi)
   1.2. PAH (Barabasi with Homophily)
   1.3. PATC (Barabasi with Triadic Closure)
   1.4. PATCH (Barabasi with Triadic Closure and Homophily)
2. Directed
   2.1. DH (Directed with Homophily)
   2.2. DPA (Directed with Preferential Attachment)
   2.3. DPAH (Directed with Preferential Attachment and Homophily)

[EXAMPLES]
In the folder examples/ you can find python scripts (.py) and notebooks (.ipynb) with examples on how to create graphs, plots, and ranking analysis.

Full Changelog: https://github.com/CSHVienna/NetworkInequalities/commits/netin-1.0.5