From df8386f75b0538075d72d52693836bb8878f505b Mon Sep 17 00:00:00 2001
From: KatolaZ <katolaz@yahoo.it>
Date: Mon, 19 Oct 2015 16:23:00 +0100
Subject: First commit of MAMMULT code

---
 models/nullmodels/model_hypergeometric.py | 56 +++++++++++++++++++++++++++++++
 1 file changed, 56 insertions(+)
 create mode 100644 models/nullmodels/model_hypergeometric.py

(limited to 'models/nullmodels/model_hypergeometric.py')

diff --git a/models/nullmodels/model_hypergeometric.py b/models/nullmodels/model_hypergeometric.py
new file mode 100644
index 0000000..0a36237
--- /dev/null
+++ b/models/nullmodels/model_hypergeometric.py
@@ -0,0 +1,56 @@
+####
+##
+## This is the hypergeometric model. Each layer has the same number of
+## non-isolated nodes as the initial graph, but the nodes are
+## activated at random. The input is a file of number of non-isolated
+## nodes in each layer, and the total number of nodes in the multiplex.
+##
+## The output file is a node-layer participation file, in the format
+##
+## node_id1 layer_id1
+## node_id2 layer_id2
+## .....
+##
+
+import sys
+import random
+
+if len(sys.argv) < 3:
+    print "Usage: %s <layer_N_file> <N>" % sys.argv[0]
+    sys.exit(1)
+
+N = int(sys.argv[2])
+
+layer_degs = []
+node_layers = {}
+
+lines = open(sys.argv[1]).readlines()
+
+M = 0
+
+
+for l in lines:
+    if l[0] == "#":
+        continue
+    n = [int(x) for x in l.strip(" \n").split(" ")][0]
+    layer_degs.append(n)
+    M += 1
+
+for i in range(M):
+    num = layer_degs[i]
+    added = []
+    n = 0
+    while n < num:
+        j = random.choice(range(N))
+        if j not in added:
+            n += 1
+            added.append(j)
+            if node_layers.has_key(j):
+                node_layers[j].append(i)
+            else:
+                node_layers[j] = [i]
+        
+for n in node_layers.keys():
+    for i in node_layers[n]:
+        print n,i
+
-- 
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