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NetBunch/doc/bet_dependency.md

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bet_dependency(1) -- Compute the betweenness dependency of nodes

SYNOPSIS

bet_dependency <graph_in> [ <node_start> [<node_end>]]

DESCRIPTION

bet_dependency computes the betweenness dependency of all the nodes of an undirected graph provided as input. The program implements the algorithm by U. Brandes, and computes the betweenness dependency using all the shortest paths originating from the subset of the nodes of the graph whose labels are in the interval [<node_start>, <node_end>]. If <node_end> is not given, the last label of the graph is assumed. If <node_start> is not given, use the shortest paths originating from all the nodes of the graph.

PARAMETERS

  • <graph_in>: input graph (edge list) if equal to - (dash), read the edge list from STDIN.

  • <node_start>: The label of the first node in a sequence of nodes.

  • <node_end>: The label of the last node in a sequence of nodes.

OUTPUT

bet_dependency prints on the standard output (STDOUT) the betweenness dependency score of all the nodes, starting from the node with label 0, one per line.

EXAMPLES

The following command:

      $ bet_dependency er_1000_5000.txt 

computes the betweenness dependency of all the nodes of the graph er_1000_5000.txt, using all the shortest paths, and prints the result on the standard output (STOUT).

The command:

    $ bet_dependency er_1000_5000.txt 100 200 >node_bet_dep

will compute the betweenness dependency of the nodes in the graph er_1000_5000.txt, based only on the shortest paths originating from the nodes whose labels are in the range [100,200]. The results will be saved in the file node_bet_dep.

SEE ALSO

betweenness(1), shortest(1)

REFERENCES

  • U. Brandes. "A Faster Algorithm for Betweenness Centrality". J. Math. Sociol. 25 (2001), 163-177.

  • V. Latora, V. Nicosia, G. Russo, "Complex Networks: Principles, Methods and Applications", Chapter 6, Cambridge University Press (2017)

  • V. Latora, V. Nicosia, G. Russo, "Complex Networks: Principles, Methods and Applications", Appendix 7, Cambridge University Press (2017)

AUTHORS

(c) Vincenzo 'KatolaZ' Nicosia 2009-2017 <v.nicosia@qmul.ac.uk>.