package dose

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package dose
Legend:
Library
Module
Module type
Parameter
Class
Class type

Parameters

module G : Graph.Sig.I

Signature

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 Pervasives.ref
val _outdata : (int, int) ExtLib.Hashtbl.t option Pervasives.ref
val _indata : (int, int) ExtLib.Hashtbl.t option Pervasives.ref
val _outdatadegree : int MSout.t Pervasives.ref
val _indatadegree : int MSin.t Pervasives.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
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