## 8/21/2019

### get similarity between two graphs

Basically, this example use networkX python library.
I made very simple two graphs which are G1, G2

Let see here:

and nx.graph_edit_distance this function calculate how much edit graph can be became isomorphic, that is return value of the function.

Check the example code.

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#https://stackoverflow.com/questions/11804730/networkx-add-node-with-specific-position
#https://stackoverflow.com/questions/23975773/how-to-compare-directed-graphs-in-networkx

import matplotlib.pyplot as plt
import networkx as nx
G1=nx.Graph()
G1.add_node(1,pos=(1,1))
G1.add_node(2,pos=(2,2))
G1.add_node(3,pos=(3,1))
G1.add_edge(1,2)
G1.add_edge(1,3)

pos=nx.get_node_attributes(G1,'pos')
plt.figure('graph1')
nx.draw(G1,pos, with_labels=True)

G2=nx.Graph()
G2.add_node(1,pos=(10,10))
G2.add_node(2,pos=(20,20))
G2.add_node(3,pos=(30,10))
G2.add_node(4,pos=(40,30))
G2.add_edge(1,2)
G2.add_edge(1,3)
G2.add_edge(1,4)
pos2=nx.get_node_attributes(G2,'pos')
plt.figure('b')
nx.draw(G2,pos2, with_labels=True)

dist = nx.graph_edit_distance(G1, G2)
print(dist)

plt.show()
..