Simple example using add_edge_list()
edges = [["A", "B", 10],
["A", "C", 10],
["B", "C", 10],
["C", "D", 1],
["B", "F", 1],
["A", "E", 1],
["D", "E", 10],
["D", "F", 10],
["E", "F", 10]]
g = Graph()
eweight = g.new_edge_property("int")
eprops = [eweight]
g.add_edge_list(edges, eprops=eprops, hashed=True)
How do I recover the vertex names ("A", "B", "C", etc), so that after I fit
an SBM I can collect membership of vertices?
Now, if I had loaded the same data set from a .csv using
load_graph_from_csv() and run this:
g = load_graph_from_csv('edges.csv', hashed = True)
Then the following keep track of both edge weights and vertex names:
weights = g.edge_properties['c1']
vnames = g.vertex_properties
However, if I fit an SBM to g using edge weights using this method, I get an
error message:
AttributeError: 'str' object has no attribute 'key_type'
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