diff --git a/polygraph.py b/polygraph.py
index 51ec84e..88bd3df 100755
--- a/polygraph.py
+++ b/polygraph.py
@@ -3,27 +3,41 @@
 import pygraphviz as pgv
 import json
 
-# These are the categories to use for color-coding the graph.
-# These are highly arbitrary categories that suited my purposes, feel free
-# to edit them!
+# These are the attributes to use for color-coding the graphs
 # fixme: make these configurable
-relationship_colors = { 'yes': 'black',
-                        'no': 'grey', 
-                        }
 
+# This represents whether a particular relationship involves the 
+# *risk* of fluid exchange. The values are applied to the edge 'style' attribute
+fluid_colors = { 'yes': 'solid',
+                 'no': 'dashed', 
+                 }
+
+# Three gender colours, so that we encapsulate masculine, feminine, and a catch-all for other identities
+# If you'd rather explicitly colour-code other identities, just add them :)
 gender_colors = {
     'm': 'blue',
     'f': 'pink',
     'o': 'green',
     }
 
+# Relationship types... feel free to edit to suit your poly family's needs
+relationship_colors = {
+    'v': 'blue',
+    'ds': 'red'
+    }
+
 
 def main():
-    data = json.load(open('network.dat', 'r'))
+    try:
+        data = json.load(open('network.dat', 'r'))
+    except Exception as e:
+        print "Error parsing data file: " + str(e)
+        return
 
     graph = pgv.AGraph()
-    graph.node_attr['style'] = 'filled'
     graph.graph_attr['overlap'] = 'prism'
+    graph.node_attr['style'] = 'filled'
+    graph.edge_attr['arrowsize'] = 0.5
 
     # Add nodes to graph
     for user in data:
@@ -31,8 +45,8 @@ def main():
 
     # Add edges to graph
     for user1 in data:
-        for (user2, rel) in user1['connections']:
-            graph.add_edge(user1['name'], user2, color=relationship_colors[rel])
+        for (user2, rel, fluid) in user1['connections']:
+            graph.add_edge(user1['name'], user2, style=fluid_colors[fluid], color=relationship_colors[rel])
 
     graph.layout()
     graph.draw('/tmp/graph.png')