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

---
 structure/correlations/knn_q_from_degrees.py | 49 ++++++++++++++++++++++++++++
 1 file changed, 49 insertions(+)
 create mode 100644 structure/correlations/knn_q_from_degrees.py

(limited to 'structure/correlations/knn_q_from_degrees.py')

diff --git a/structure/correlations/knn_q_from_degrees.py b/structure/correlations/knn_q_from_degrees.py
new file mode 100644
index 0000000..5e10bfa
--- /dev/null
+++ b/structure/correlations/knn_q_from_degrees.py
@@ -0,0 +1,49 @@
+####
+##
+##
+## Take a file with the degree sequence of nodes which are active on
+## both layers, and compute \overline{k}(q) and \overline{q}(k),
+## i.e. the two inter-layer correlation functions, where we call "k"
+## the degree on the first column, and "q" the degree on the second
+## column
+##
+##
+
+import sys
+
+if len(sys.argv) < 2:
+    print "Usage: %s <filein>" % sys.argv[0]
+    sys.exit(1)
+
+qnn_k = {}
+knn_q = {}
+
+with open(sys.argv[1]) as f:
+    for l in f:
+        k, q = [int(x) for x in l.strip(" \n").split(" ")]
+        if qnn_k.has_key(k):
+            qnn_k[k].append(q)
+        else:
+            qnn_k[k] = [q]
+        if knn_q.has_key(q):
+            knn_q[q].append(k)
+        else:
+            knn_q[q] = [k]
+
+
+
+
+keys= qnn_k.keys()
+keys.sort()
+for k in keys:
+    print k, 1.0 * sum(qnn_k[k])/len(qnn_k[k])
+
+
+
+
+keys= knn_q.keys()
+keys.sort()
+for q in keys:
+    sys.stderr.write("%d %f\n" % (q, 1.0 * sum(knn_q[q])/len(knn_q[q])))
+
+
-- 
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