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_node_betweenness(G, source, cutoff=False, normalized=True, weight=None)

See betweenness_centrality for what you probably want. This actually computes "load" and not betweenness. See https://networkx.lanl.gov/ticket/103

This calculates the load of each node for paths from a single source. (The fraction of number of shortests paths from source that go through each node.)

To get the load for a node you need to do all-pairs shortest paths.

If weight is not None then use Dijkstra for finding shortest paths.

Node betweenness_centrality helper:

Examples

See :

Local connectivity graph

Hover to see nodes names; edges to Self not shown, Caped at 50 nodes.

Using a canvas is more power efficient and can get hundred of nodes ; but does not allow hyperlinks; , arrows or text (beyond on hover)

SVG is more flexible but power hungry; and does not scale well to 50 + nodes.

All aboves nodes referred to, (or are referred from) current nodes; Edges from Self to other have been omitted (or all nodes would be connected to the central node "self" which is not useful). Nodes are colored by the library they belong to, and scaled with the number of references pointing them


GitHub : /networkx/algorithms/centrality/load.py#85
type: <class 'function'>
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