How can I generate an Erdos-Renyi network which follows Possion distribution with random_graph function?
Dear Tiago, I am trying to generate an Erdos-Renyi network like this: import graph_tool.all as gt import numpy.random as np g = gt.random_graph(1000, deg_sampler=np.poisson(4), directed=False) but it doesn't work out. Is anything I misunderstood in the documentation? I am new in this field. Thanks for your help! Best, Liu
Dear Liu, as per documentation, the second argument of random_graph takes a function, passing np.poisson(4) is like passing one single value form that distribution. Try changing your code to: g = gt.random_graph(1000, deg_sampler=lambda:np.poisson(4), directed=False) and see if it works as intended. Best, Giuseppe 2014-04-17 15:30 GMT+02:00 Liu <boxiliu.hust@gmail.com>:
Dear Tiago,
I am trying to generate an Erdos-Renyi network like this:
import graph_tool.all as gt import numpy.random as np
g = gt.random_graph(1000, deg_sampler=np.poisson(4), directed=False)
but it doesn't work out. Is anything I misunderstood in the documentation? I am new in this field. Thanks for your help!
Best, Liu
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