functor (G : Graph.Sig.I) ->
sig
module VS :
sig
type elt = G.V.t
type t = Set.Make(G.V).t
val empty : t
val is_empty : t -> bool
val mem : elt -> t -> bool
val add : elt -> t -> t
val singleton : elt -> t
val remove : elt -> t -> t
val union : t -> t -> t
val inter : t -> t -> t
val diff : t -> t -> t
val compare : t -> t -> int
val equal : t -> t -> bool
val subset : t -> t -> bool
val iter : (elt -> unit) -> t -> unit
val fold : (elt -> 'a -> 'a) -> t -> 'a -> 'a
val for_all : (elt -> bool) -> t -> bool
val exists : (elt -> bool) -> t -> bool
val filter : (elt -> bool) -> t -> t
val partition : (elt -> bool) -> t -> t * t
val cardinal : t -> int
val elements : t -> elt list
val min_elt : t -> elt
val max_elt : t -> elt
val choose : t -> elt
val split : elt -> t -> t * bool * t
val find : elt -> t -> elt
end
module UndG :
sig
type t = Graph.Imperative.Graph.Concrete(G.V).t
module V :
sig
type t = G.V.t
val compare : t -> t -> int
val hash : t -> int
val equal : t -> t -> bool
type label = G.V.t
val create : label -> t
val label : t -> label
end
type vertex = V.t
module E :
sig
type t = G.V.t * G.V.t
val compare : t -> t -> int
type vertex = vertex
val src : t -> vertex
val dst : t -> vertex
type label = unit
val create : vertex -> label -> vertex -> t
val label : t -> label
end
type edge = E.t
val is_directed : bool
val is_empty : t -> bool
val nb_vertex : t -> int
val nb_edges : t -> int
val out_degree : t -> vertex -> int
val in_degree : t -> vertex -> int
val mem_vertex : t -> vertex -> bool
val mem_edge : t -> vertex -> vertex -> bool
val mem_edge_e : t -> edge -> bool
val find_edge : t -> vertex -> vertex -> edge
val find_all_edges : t -> vertex -> vertex -> edge list
val succ : t -> vertex -> vertex list
val pred : t -> vertex -> vertex list
val succ_e : t -> vertex -> edge list
val pred_e : t -> vertex -> edge list
val iter_vertex : (vertex -> unit) -> t -> unit
val fold_vertex : (vertex -> 'a -> 'a) -> t -> 'a -> 'a
val iter_edges : (vertex -> vertex -> unit) -> t -> unit
val fold_edges : (vertex -> vertex -> 'a -> 'a) -> t -> 'a -> 'a
val iter_edges_e : (edge -> unit) -> t -> unit
val fold_edges_e : (edge -> 'a -> 'a) -> t -> 'a -> 'a
val map_vertex : (vertex -> vertex) -> t -> t
val iter_succ : (vertex -> unit) -> t -> vertex -> unit
val iter_pred : (vertex -> unit) -> t -> vertex -> unit
val fold_succ : (vertex -> 'a -> 'a) -> t -> vertex -> 'a -> 'a
val fold_pred : (vertex -> 'a -> 'a) -> t -> vertex -> 'a -> 'a
val iter_succ_e : (edge -> unit) -> t -> vertex -> unit
val fold_succ_e : (edge -> 'a -> 'a) -> t -> vertex -> 'a -> 'a
val iter_pred_e : (edge -> unit) -> t -> vertex -> unit
val fold_pred_e : (edge -> 'a -> 'a) -> t -> vertex -> 'a -> 'a
val create : ?size:int -> unit -> t
val clear : t -> unit
val copy : t -> t
val add_vertex : t -> vertex -> unit
val remove_vertex : t -> vertex -> unit
val add_edge : t -> vertex -> vertex -> unit
val add_edge_e : t -> edge -> unit
val remove_edge : t -> vertex -> vertex -> unit
val remove_edge_e : t -> edge -> unit
end
val undirect : G.t -> Statistics.Make.UndG.t
val clustering_coefficient : G.t -> G.vertex -> float
val average_distance : G.t -> Statistics.Make.VS.elt -> float
module MSin :
sig
type key = G.V.t * G.t ref
type +'a t
val empty : 'a t
val is_empty : 'a t -> bool
val mem : key -> 'a t -> bool
val add : key -> 'a -> 'a t -> 'a t
val singleton : key -> 'a -> 'a t
val remove : key -> 'a t -> 'a t
val merge :
(key -> 'a option -> 'b option -> 'c option) ->
'a t -> 'b t -> 'c t
val compare : ('a -> 'a -> int) -> 'a t -> 'a t -> int
val equal : ('a -> 'a -> bool) -> 'a t -> 'a t -> bool
val iter : (key -> 'a -> unit) -> 'a t -> unit
val fold : (key -> 'a -> 'b -> 'b) -> 'a t -> 'b -> 'b
val for_all : (key -> 'a -> bool) -> 'a t -> bool
val exists : (key -> 'a -> bool) -> 'a t -> bool
val filter : (key -> 'a -> bool) -> 'a t -> 'a t
val partition : (key -> 'a -> bool) -> 'a t -> 'a t * 'a t
val cardinal : 'a t -> int
val bindings : 'a t -> (key * 'a) list
val min_binding : 'a t -> key * 'a
val max_binding : 'a t -> key * 'a
val choose : 'a t -> key * 'a
val split : key -> 'a t -> 'a t * 'a option * 'a t
val find : key -> 'a t -> 'a
val map : ('a -> 'b) -> 'a t -> 'b t
val mapi : (key -> 'a -> 'b) -> 'a t -> 'b t
end
module MSout :
sig
type key = G.V.t * G.t ref
type +'a t
val empty : 'a t
val is_empty : 'a t -> bool
val mem : key -> 'a t -> bool
val add : key -> 'a -> 'a t -> 'a t
val singleton : key -> 'a -> 'a t
val remove : key -> 'a t -> 'a t
val merge :
(key -> 'a option -> 'b option -> 'c option) ->
'a t -> 'b t -> 'c t
val compare : ('a -> 'a -> int) -> 'a t -> 'a t -> int
val equal : ('a -> 'a -> bool) -> 'a t -> 'a t -> bool
val iter : (key -> 'a -> unit) -> 'a t -> unit
val fold : (key -> 'a -> 'b -> 'b) -> 'a t -> 'b -> 'b
val for_all : (key -> 'a -> bool) -> 'a t -> bool
val exists : (key -> 'a -> bool) -> 'a t -> bool
val filter : (key -> 'a -> bool) -> 'a t -> 'a t
val partition : (key -> 'a -> bool) -> 'a t -> 'a t * 'a t
val cardinal : 'a t -> int
val bindings : 'a t -> (key * 'a) list
val min_binding : 'a t -> key * 'a
val max_binding : 'a t -> key * 'a
val choose : 'a t -> key * 'a
val split : key -> 'a t -> 'a t * 'a option * 'a t
val find : key -> 'a t -> 'a
val map : ('a -> 'b) -> 'a t -> 'b t
val mapi : (key -> 'a -> 'b) -> 'a t -> 'b t
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 Statistics.Make.MSout.t Pervasives.ref
val _indatadegree : int Statistics.Make.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 -> Statistics.Make.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
end