It is not possible to set the propagation probability of edges (u,v) and (v,u) at the same time in an undirected graph

[zzzkhj]

Describe the bug model = ep.IndependentCascadesModel(graph) config = mc.Configuration()

for u, v in graph.edges():
    config.add_edge_configuration("threshold", (u, v), 1/graph.degree(v))
    config.add_edge_configuration("threshold", (v, u), 1/graph.degree(u))

When I try to set the propagation probability to 1 part of the degree with the above code, I get the keyerror. Because when I look at the ND code, I find that the propagation probability set by default is 1 out of degree, for example, when you activate v, the probability is 1 out of the degree of u. I expected to accomplish my purpose with the above settings, but something went wrong and only the default propagation probability was used.

KeyError Traceback (most recent call last) Cell In[25], line 18 16 config.add_model_initial_configuration("Infected", S) 17 model.set_initial_status(config) ---> 18 print(model.params['edges']['threshold'][(0, 7)]) 19 break 20 # print(model.initial_status.values()) 21 # print(1, np.array(model.initial_status.values()).nonzero()) 22 23 #

KeyError: 'threshold'

To Reproduce Steps to reproduce the behavior:

• NDlib version: 5.1.1
• Operating System: Ubuntu 20.04.5 LTS
• Python version: 3.8.10
• Version(s) of NDlib required libraries networkx: 3.0

[zzzkhj]

sorry, 1 part of the degree is 1/in_degree(v), out of the degree of u is 1/in_degree(u) with edge (u,v).