Thank you for your kind response.
My primary concern revolves around weak scaling. I am specifically interested in
understanding how the weak scaling results for a very large and sparse network (e.g. with
a small `fixed_indegree`) would be affected by the emerging differences in sparsity
patterns and overall dynamics due to an increasing number of virtual processes. My
intuition suggests that these differences may "balance out," thereby making the
scaling results reliable. However, I am curious to know if there exists any mathematical
guarantee or theory that either supports or disproves this hypothesis. Any insights or
references on this matter would be greatly appreciated.
Best,
Jesus Espinoza.