diff --git a/src/absinth.py b/src/absinth.py
index 02de6f274986ea691d29a0f30ee8d22310415c9d..fb401415ae9cfc362830b8409e44d82f208761fb 100644
--- a/src/absinth.py
+++ b/src/absinth.py
@@ -148,6 +148,8 @@ def induce(topic_name: str, result_list: list) -> (nx.Graph, list, dict):
                 node_freq_dict = json.load(node_file)
                 edge_freq_dict = json.load(edge_file)
 
+                edge_freq_dict = {(key1,key2):value2 for key1,value1 in edge_freq_dict.items() for key2,value2 in value1.items()}
+
             continue
     
     if graph_in_existence == False:
@@ -157,6 +159,15 @@ def induce(topic_name: str, result_list: list) -> (nx.Graph, list, dict):
         with open(config.graph+node_dict_name, 'w') as node_file, open(config.graph+edge_dict_name, 'w') as edge_file:
             
             json.dump(node_freq_dict, node_file)
+
+            new_dict = dict()
+            for key,value in edge_freq_dict.items():
+                if key[0] in new_dict:
+                    key[0].add({key[1]:value})
+                else:
+                    key[0] = {key[1]:value}
+
+            edge_freq_dict = new_dict
             json.dump(edge_freq_dict, edge_file)
 
     #builds graph from these dictionaries, also applies multiple filters
diff --git a/src/abstinent.py b/src/abstinent.py
index 29201f1608cfd9b57e04910ea53d395666111924..901b99e8ad10aad372371b2f0fe0144f64e439b9 100644
--- a/src/abstinent.py
+++ b/src/abstinent.py
@@ -366,6 +366,8 @@ def induce(topic_name: str, result_list: list) -> (nx.Graph, list, dict):
                 node_freq_dict = json.load(node_file)
                 edge_freq_dict = json.load(edge_file)
 
+                edge_freq_dict = {(key1,key2):value2 for key1,value1 in edge_freq_dict.items() for key2,value2 in value1.items()}
+
             continue
     
     if graph_in_existence == False:
@@ -375,6 +377,15 @@ def induce(topic_name: str, result_list: list) -> (nx.Graph, list, dict):
         with open(config.graph+node_dict_name, 'w') as node_file, open(config.graph+edge_dict_name, 'w') as edge_file:
             
             json.dump(node_freq_dict, node_file)
+            
+            new_dict = dict()
+            for key,value in edge_freq_dict.items():
+                if key[0] in new_dict:
+                    key[0].add({key[1]:value})
+                else:
+                    key[0] = {key[1]:value}
+
+            edge_freq_dict = new_dict
             json.dump(edge_freq_dict, edge_file)
     
     #builds graph from these dictionaries, also applies multiple filters