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Updated README.md
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Schefflera-Arboricola authored Jan 1, 2024
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Expand Up @@ -6,24 +6,13 @@ nx-parallel is a NetworkX backend that uses joblib for parallelization. This pro

nx-parallel provides parallelized implementations for the following NetworkX functions:

```
├── algorithms
│   ├── centrality
│   │   └── betweenness.py
│   │   ├── betweeness_centrality
│   ├── efficiency_measures.py
│   │ ├── local_efficiency
│   ├── isolate.py
│ │ ├── number_of_isolates
│   ├── shortest_paths
│   │   └── weighted.py
│   │   ├── all_pairs_dijkstra_path_length
│   ├── tournament.py
│   │ ├── is_reachable
│   │ ├── tournament_is_strongly_connected
│   └── vitality.py
│   ├── closeness_vitality
```
- [betweeness_centrality](https://github.com/networkx/nx-parallel/blob/main/nx_parallel/algorithms/centrality/betweenness.py#L17)
- [local_efficiency](https://github.com/networkx/nx-parallel/blob/main/nx_parallel/algorithms/efficiency_measures.py#L12)
- [number_of_isolates](https://github.com/networkx/nx-parallel/blob/main/nx_parallel/algorithms/isolate.py#L9)
- [all_pairs_bellman_ford_path](https://github.com/networkx/nx-parallel/blob/main/nx_parallel/algorithms/shortest_paths/weighted.py#L9)
- [is_reachable](https://github.com/networkx/nx-parallel/blob/main/nx_parallel/algorithms/tournament.py#L11)
- [tournament_is_strongly_connected](https://github.com/networkx/nx-parallel/blob/main/nx_parallel/algorithms/tournament.py#L103)
- [closeness_vitality](https://github.com/networkx/nx-parallel/blob/main/nx_parallel/algorithms/vitality.py#L9)

![alt text](timing/heatmap_all_functions.png)

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