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+shortest(1) -- Compute the distance between one node and all the other nodes of a graph
+======
+
+## SYNOPSIS
+
+`shortest` <graph_in> <node> [SHOW]
+
+## DESCRIPTION
+
+`shortest` computes the distance (and the shortest paths) between a
+given node and all the other nodes of an undirected graph provided as
+input. The program implements the Breadth-First Search algorithm.
+
+## PARAMETERS
+
+* <graph_in>:
+ input graph (edge list) if equal to `-` (dash), read the edge list
+ from STDIN.
+
+* <node>:
+ The label of the node from which distances are to be computed
+
+* SHOW:
+ If the third (optional) parameter is equal to `SHOW`, the program
+ will dump on the standard error also all the shortest paths
+ between <node> and all the other nodes of the graph
+
+## OUTPUT
+
+`shortest` prints on the standard output the distances betwen <node>
+and all the other nodes of the graph, in the format:
+
+ d0 d1 d2 d3.....
+
+where `d0` is the distance to node `0`, `d1` is the distance to node
+`1`, and so forth. If `SHOW` is given, the list of all the shortest
+paths between <node> and the other nodes is printed on the standard
+error, one path per line, in the format:
+
+ label0 label1 label2 ... node
+
+where `label1`, `label2`, etc. are the labels of a shortest path
+between `label0` and <node>
+
+## EXAMPLES
+
+The following command:
+
+ $ shortest er_1000_5000.net 25
+ 3 4 4 4 2.......
+ $
+
+will show on output the distances between node 25 and all the other
+nodes in the graph `er_1000_5000.net`. If we invoke the program with:
+
+ $ shortest er_1000_5000.net 25 SHOW 2>er_1000_5000.net_25_paths
+ 3 4 4 4 2.......
+ $
+
+the program will dump on STDERR the list of all the shortest paths
+between 'node' and all the other nodes of the graph. Since we used the
+redirection `2>er_1000_5000.net_25_paths` (which can be read "redirect
+STDERR to 'er\_1000\_5000.net\_25\_paths' "), the list of shortest
+paths will be written to the file `er_1000_5000.net_25_paths`.
+
+## SEE ALSO
+
+dijkstra(1), bet_dependency(1), betweenness(1), shortest_avg_max_hist(1)
+
+## REFERENCES
+
+* V\. Latora, V. Nicosia, G. Russo, "Complex Networks: Principles,
+ Methods and Applications", Chapter 3, Cambridge University Press
+ (2017)
+
+* V\. Latora, V. Nicosia, G. Russo, "Complex Networks: Principles,
+ Methods and Applications", Appendix 6, Cambridge University Press
+ (2017)
+
+
+## AUTHORS
+
+(c) Vincenzo 'KatolaZ' Nicosia 2009-2017 `<v.nicosia@qmul.ac.uk>`.