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1 {-|
2 Module : Gargantext.Core.Viz.Graph.Tools.IGraph
3 Description : Tools to build Graph
4 Copyright : (c) CNRS, 2017-Present
5 License : AGPL + CECILL v3
6 Maintainer : team@gargantext.org
7 Stability : experimental
8 Portability : POSIX
9
10 Reference:
11 * Gábor Csárdi, Tamás Nepusz: The igraph software package for complex network research. InterJournal Complex Systems, 1695, 2006.
12
13 -}
14
15 module Gargantext.Core.Viz.Graph.Tools.IGraph
16 where
17
18 import Data.Serialize
19 import Data.Singletons (SingI)
20 import Gargantext.Core.Viz.Graph.Index
21 import Graph.Types (ClusterNode(..))
22 import IGraph hiding (mkGraph, neighbors, edges, nodes, Node, Graph)
23 import Protolude
24 import Gargantext.Prelude (saveAsFileDebug)
25 import qualified Data.List as List
26 import qualified Data.Map.Strict as Map
27 import qualified IGraph as IG
28 import qualified IGraph.Algorithms.Clique as IG
29 import qualified IGraph.Algorithms.Community as IG
30 import qualified IGraph.Algorithms.Structure as IG
31 import qualified IGraph.Random as IG
32 import qualified Data.Set as Set
33
34 ------------------------------------------------------------------
35 -- | Main Types
36 type Graph_Undirected = IG.Graph 'U () ()
37 type Graph_Directed = IG.Graph 'D () ()
38
39 type Node = IG.Node
40 type Graph = IG.Graph
41
42 ------------------------------------------------------------------
43 -- | Main Graph management Functions
44 neighbors :: IG.Graph d v e -> IG.Node -> [IG.Node]
45 neighbors = IG.neighbors
46
47 edges :: IG.Graph d v e -> [Edge]
48 edges = IG.edges
49
50 nodes :: IG.Graph d v e -> [IG.Node]
51 nodes = IG.nodes
52
53 ------------------------------------------------------------------
54 -- | Partitions
55 maximalCliques :: IG.Graph d v e -> [[Int]]
56 maximalCliques g = IG.maximalCliques g (min',max')
57 where
58 min' = 0
59 max' = 0
60
61 ------------------------------------------------------------------
62 type Seed = Int
63
64 spinglass :: Seed -> Map (Int, Int) Double -> IO [ClusterNode]
65 spinglass s g = toClusterNode
66 <$> map catMaybes
67 <$> map (map (\n -> Map.lookup n fromI))
68 <$> List.concat
69 <$> mapM (partitions_spinglass' s) g'
70 where
71 -- Not connected components of the graph make crash spinglass
72 g' = IG.decompose $ mkGraphUfromEdges
73 $ Map.keys
74 $ toIndex toI g
75
76 (toI, fromI) = createIndices g
77
78 spinglass' :: Seed -> Map (Int, Int) Double -> IO [Set Int]
79 spinglass' s g = map Set.fromList
80 <$> map catMaybes
81 <$> map (map (\n -> Map.lookup n fromI))
82 <$> List.concat
83 <$> mapM (partitions_spinglass' s) g'
84 where
85 -- Not connected components of the graph make crash spinglass
86 g' = IG.decompose $ mkGraphUfromEdges
87 $ Map.keys
88 $ toIndex toI g
89
90 (toI, fromI) = createIndices g
91
92
93
94
95
96 -- | Tools to analyze graphs
97 partitions_spinglass' :: (Serialize v, Serialize e)
98 => Seed -> IG.Graph 'U v e -> IO [[Int]]
99 partitions_spinglass' s g = do
100 gen <- IG.withSeed s pure
101 res <- IG.findCommunity g Nothing Nothing IG.spinglass gen
102 -- res <- IG.findCommunity g Nothing Nothing IG.leiden gen
103 -- res <- IG.findCommunity g Nothing Nothing IG.infomap gen
104 saveAsFileDebug "/tmp/res" res
105 pure res
106
107
108 toClusterNode :: [[Int]] -> [ClusterNode]
109 toClusterNode ns = List.concat
110 $ map (\(cId, ns') -> map (\n -> ClusterNode n cId) ns')
111 $ List.zip [1..] ns
112
113 ------------------------------------------------------------------
114 mkGraph :: (SingI d, Ord v,
115 Serialize v, Serialize e) =>
116 [v] -> [LEdge e] -> IG.Graph d v e
117 mkGraph = IG.mkGraph
118
119 ------------------------------------------------------------------
120 mkGraphUfromEdges :: [(Int, Int)] -> Graph_Undirected
121 mkGraphUfromEdges es = mkGraph (List.replicate n ()) $ zip es $ repeat ()
122 where
123 (a,b) = List.unzip es
124 n = List.length (List.nub $ a <> b)
125
126 {-
127 mkGraphDfromEdges :: [(Int, Int)] -> Graph_Directed
128 mkGraphDfromEdges = undefined
129 -}