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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 implemen…
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### Description
Convert the existing [betweeness_centrality_lambda](https://github.com/EventideSystems/betweeness_centrality_lambda) service to Ruby, to be called directly in the app proper.
This is…
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Note from CCSC Eastern talk: can we think about "betweeness centrality" with METAL data and in HDX AVs?
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### What is the expected enhancement?
It would be very cool to implement the calculation of betweenness centrality using the edges weights, as done in NetworkX : https://networkx.org/document…
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At the moment, there is no function to calculate the edge betweenness centrality of a graph.
I have an implementation for undirected/unweighted graphs, at least.
Should I do a PR for this?
ht…
J-C-Q updated
2 years ago
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Approximating Betweenness Centrality, Bader et. al. 2007
- single vertex algorithm
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Running this algo on a directed graph with 30K nodes and 50K Edges is extremely slow. The output during betweennessCentralityMap phase is roughly 1 vertex completed per 3 minutes. I realize that this…
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> Also, there's this library called [`graph-tool`](https://graph-tool.skewed.de/static/doc/index.html) that is freakishly fast, but the caveat is that it's not available on PyPi and can only be instal…
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_Betweenness Centrality_ is a measure of centrality in a graph based on shortest paths. For every pair of vertices in a connected graph, there exists at least one shortest path between the vertices su…
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`experimenter.py` runs multiple calls of `swmmanywhere` as a jobarray.
`njobs = joblib.cpu_count(True) if njobs == -1 else njobs` in `metric_utilities.py/edge_betweenness_centrality` I _think_ is …