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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>`.