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Betweenness centrality updates #1224

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Apr 14, 2025
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Betweenness centrality updates #1224

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3 changes: 1 addition & 2 deletions pages/advanced-algorithms/available-algorithms/betweenness_centrality.mdx
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Expand Up @@ -59,8 +59,7 @@ If subgraph is not specified, the algorithm is computed on the entire graph by d
- `normalized: boolean (default=True)` ➡ If `True` the betweenness values are normalized by
`2/((n-1)(n-2))` for graphs, and `1/((n-1)(n-2))` for directed graphs where
`n` is the number of nodes.
- `threads: integer (default=number of concurrent threads supported by the
implementation)` ➡ The number of threads used to calculate betweenness
- `threads: integer (default=half of the system’s available hardware threads)` ➡ The number of threads used to calculate betweenness
centrality.


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2 changes: 1 addition & 1 deletion pages/advanced-algorithms/available-algorithms/community_detection.mdx
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Expand Up @@ -78,7 +78,7 @@ the procedure.
gain in modularity goes below this threshold, a final iteration is performed using the
`community_alg_threshold` value.
Valid values are between 0 and 1 (exclusive). This parameter's value should be higher than `community_alg_threshold`.
- `num_of_threads: integer (default=Half of the system's maximum thread count)` ➡ Specifies the number of threads used for parallel execution in the algorithm's parallelized parts.
- `num_of_threads: integer (default=half of the system’s available hardware threads)` ➡ Specifies the number of threads used for parallel execution in the algorithm's parallelized parts.
**Note**: OpenMP (omp) is used for parallelization, so the actual thread usage may depend on system settings and OpenMP configurations.

{<h4 className="custom-header"> Output: </h4>}
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