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Hello, easygraph developers
I found that the betweenness_centrality function does not implement the feature of sampling k nodes to calculate the node betweenness centrality. But networkx has implemented it. This is to reduce the calculation time of obtaining the node betweenness centrality when the graph is very large. By the way, networkx does not consider how to choose k to balance the calculation time and the node betweenness centrality close to the true value. I hope you can consider this.
Thank you very much.
The text was updated successfully, but these errors were encountered:
Hello, easygraph developers
I found that the betweenness_centrality function does not implement the feature of sampling k nodes to calculate the node betweenness centrality. But networkx has implemented it. This is to reduce the calculation time of obtaining the node betweenness centrality when the graph is very large. By the way, networkx does not consider how to choose k to balance the calculation time and the node betweenness centrality close to the true value. I hope you can consider this.
Thank you very much.
The text was updated successfully, but these errors were encountered: