1 files changed, 8 insertions, 8 deletions
diff --git a/networkx/algorithms/cuts.py b/networkx/algorithms/cuts.py
index 271ff309..2b4794ef 100644
--- a/networkx/algorithms/cuts.py
+++ b/networkx/algorithms/cuts.py
@@ -21,7 +21,7 @@ __all__ = [
 # TODO STILL NEED TO UPDATE ALL THE DOCUMENTATION!
 
 
-@nx.dispatch("cut_size")
+@nx.dispatch
 def cut_size(G, S, T=None, weight=None):
     """Returns the size of the cut between two sets of nodes.
 
@@ -84,7 +84,7 @@ def cut_size(G, S, T=None, weight=None):
     return sum(weight for u, v, weight in edges)
 
 
-@nx.dispatch("volume")
+@nx.dispatch
 def volume(G, S, weight=None):
     """Returns the volume of a set of nodes.
 
@@ -127,7 +127,7 @@ def volume(G, S, weight=None):
     return sum(d for v, d in degree(S, weight=weight))
 
 
-@nx.dispatch("normalized_cut_size")
+@nx.dispatch
 def normalized_cut_size(G, S, T=None, weight=None):
     """Returns the normalized size of the cut between two sets of nodes.
 
@@ -180,7 +180,7 @@ def normalized_cut_size(G, S, T=None, weight=None):
     return num_cut_edges * ((1 / volume_S) + (1 / volume_T))
 
 
-@nx.dispatch("conductance")
+@nx.dispatch
 def conductance(G, S, T=None, weight=None):
     """Returns the conductance of two sets of nodes.
 
@@ -228,7 +228,7 @@ def conductance(G, S, T=None, weight=None):
     return num_cut_edges / min(volume_S, volume_T)
 
 
-@nx.dispatch("edge_expansion")
+@nx.dispatch
 def edge_expansion(G, S, T=None, weight=None):
     """Returns the edge expansion between two node sets.
 
@@ -275,7 +275,7 @@ def edge_expansion(G, S, T=None, weight=None):
     return num_cut_edges / min(len(S), len(T))
 
 
-@nx.dispatch("mixing_expansion")
+@nx.dispatch
 def mixing_expansion(G, S, T=None, weight=None):
     """Returns the mixing expansion between two node sets.
 
@@ -323,7 +323,7 @@ def mixing_expansion(G, S, T=None, weight=None):
 
 # TODO What is the generalization to two arguments, S and T? Does the
 # denominator become `min(len(S), len(T))`?
-@nx.dispatch("node_expansion")
+@nx.dispatch
 def node_expansion(G, S):
     """Returns the node expansion of the set `S`.
 
@@ -363,7 +363,7 @@ def node_expansion(G, S):
 
 # TODO What is the generalization to two arguments, S and T? Does the
 # denominator become `min(len(S), len(T))`?
-@nx.dispatch("boundary_expansion")
+@nx.dispatch
 def boundary_expansion(G, S):
     """Returns the boundary expansion of the set `S`.