Make (dose3.Dose_algo.Statistics.Make)

Parameters

module G : Graph.Sig.I

module VS : sig ... end

module UndG : sig ... end

val undirect : G.t -> UndG.t

val clustering_coefficient : G.t -> G.vertex -> float

val average_distance : G.t -> VS.elt -> float

module MSin : sig ... end

module MSout : sig ... end

val _avgdegree : float option Stdlib.ref

val _outdata : ( int, int ) ExtLib.Hashtbl.t option Stdlib.ref

val _indata : ( int, int ) ExtLib.Hashtbl.t option Stdlib.ref

val _outdatadegree : int MSout.t Stdlib.ref

val _indatadegree : int MSin.t Stdlib.ref

val degree : 
  G.t ->
  float
  * int
  * int
  * ( int, int ) ExtLib.Hashtbl.t
  * ( int, int ) ExtLib.Hashtbl.t

val computeDegree : G.t -> unit

val maxOutDegree : G.t -> int

val maxInDegree : G.t -> int

val averageDegree : G.t -> float

val zdp : G.t -> int

val scatteredPlotIn : G.t -> ( int, int ) ExtLib.Hashtbl.t

val scatteredPlotOut : G.t -> ( int, int ) ExtLib.Hashtbl.t

val scatteredPlotBoth : G.t -> ( int * int, int ) ExtLib.Hashtbl.t

val centralityDegree : G.t -> ( G.t -> G.vertex -> 'a list ) -> float

val centralityOutDegree : G.t -> float

val centralityInDegree : G.t -> float

val clustering : G.t -> float

val averageShortestPathLength : G.t -> float

val components : G.t -> G.V.t list array

val weaklycomponents : G.t -> UndG.V.t list array

val numberComponents : 'a array -> int

val averageComponents : 'a list array -> float

val largestComponent : 'a list array -> int

val density : G.t -> float

val averageTwoStepReach : G.t -> float

val removezdp : G.t -> G.t