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Since degrees distributions in networks are heavy tailed and are thus not
normally distributed and is it still ok to correlate them using some
correlation measure like pearsons r? Is it robust enough?

Lets say we have a network that notes friendships, and a network that notes
the actually exchanged information. So a hypothesis could be that persons
with a high amount of friends also exchange a lot of information. For that
I would correlate the degrees of those two networks. Would that be a valid

I've found a paper on arxiv on this, maybe you know of more:
I also remember hearing something about the QAP correlation ( method, but i
think it was for the case when both network measures come from the same

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