diff --git a/netdiff/olsr1.py b/netdiff/olsr1.py
index c99a17b..94e0a31 100755
--- a/netdiff/olsr1.py
+++ b/netdiff/olsr1.py
@@ -10,7 +10,7 @@ def __init__(self, old, new):
             self.parse(graph=self.old_graph, data=old)
         if new:
             self.parse(graph=self.new_graph, data=new)
-    
+
     def parse(self, graph, data):
         if type(data) is not dict:
             data = json.loads(data)
@@ -19,9 +19,17 @@ def parse(self, graph, data):
                            link["destinationIP"],
                            weight=link["tcEdgeCost"])
         return graph
-       
+
     def diff(self):
+        def difference(old, new):
+            diff = old.copy()
+            diff.remove_edges_from(n for n in old.edges() if n in new.edges())
+            return diff
+
+
         return {
-            "added": networkx.difference(self.new_graph, self.old_graph),
-            "removed": networkx.difference(self.old_graph, self.new_graph)
+            "added": difference(old = self.new_graph,
+                                new = self.old_graph),
+            "removed": difference(old = self.old_graph,
+                                new = self.new_graph)
         }
diff --git a/tests/olsr1/Olsr_graph_gen.py b/tests/olsr1/Olsr_graph_gen.py
new file mode 100644
index 0000000..da7a407
--- /dev/null
+++ b/tests/olsr1/Olsr_graph_gen.py
@@ -0,0 +1,41 @@
+import json
+import networkx as nx
+import random
+
+
+
+class OlsrGraphGen:
+	def __init__(self, seed):
+		self.parse_olsr_topo(seed)
+	#olsr json to networkx
+	def parse_olsr_topo(self, data):
+		self.graph = nx.MultiGraph()
+		if type(data) is not dict:
+			data = json.loads(data)
+		for link in data["topology"]:
+			self.graph.add_edge(link["lastHopIP"],
+						link["destinationIP"],
+						weight=link["tcEdgeCost"])
+		return self.graph
+
+	def reduce_graph(self, new_size):
+		size_diff = len(self.graph) - new_size
+		if size_diff <= 0:
+			print ("Your reduced graph is larger than the original:", len(self.graph))
+			sys.exit(1)
+		for i in range(1000):
+			#Let's do 1000 attempts to find a random subgraph of
+			#the chosen size, else we give up
+			test_graph = self.graph.copy()
+			new_nodes = random.sample(self.graph.nodes(), new_size)
+			new_graph = test_graph.subgraph(new_nodes)
+			if nx.is_connected(new_graph):
+				return new_graph
+		return None
+
+	#networkx to olsr json
+	def gen_olsr_topo(self, graph):
+		data = {"topology": []}
+		for n in graph.edges(data=True):
+			data["topology"].append({"lastHopIP" : n[0], "destinationIP" : n[1], "tcEdgeCost" : n[2]['weight']})# to fix etx
+		return json.dumps(data,indent=1)
diff --git a/tests/olsr1/tests.py b/tests/olsr1/tests.py
index d86fa29..e2bb370 100755
--- a/tests/olsr1/tests.py
+++ b/tests/olsr1/tests.py
@@ -1,6 +1,9 @@
 import os
 import unittest
+import random
+import networkx as nx
 from netdiff.olsr1 import Olsr1Parser
+from .Olsr_graph_gen import OlsrGraphGen
 
 
 __all__ = ['TestOlsr1Parser']
@@ -11,9 +14,26 @@
 
 
 class TestOlsr1Parser(unittest.TestCase):
+    og = OlsrGraphGen(topology1)
     def test_nochanges(self):
         parser = Olsr1Parser(old=topology1, new=topology1)
         result = parser.diff()
         self.assertTrue(type(result) is dict)
         # TODO:
         # ensure added and removed have 0 changes
+
+    def test_different_leo(self):
+        for n in range(20,len(self.og.graph)):
+            parser = Olsr1Parser(old = topology1, new = self.og.gen_olsr_topo(self.og.reduce_graph(n)))
+            result = parser.diff()
+            self.assertFalse((len(result['removed'].edges())==0) and
+                             (len(result['added'].edges())==0))
+        self.assertTrue(1)
+
+    def small_graph_test(self):
+        old_graph = self.og.gen_olsr_topo(self.og.reduce_graph(10))
+        new_graph = self.og.gen_olsr_topo(self.og.reduce_graph(15))
+        parser = Olsr1Parser(old=old_graph, new = new_graph)
+        result = parser.diff();
+        self.assertTrue((len(result['removed'].edges())>0) or
+                         (len(result['added'].edges())>0))