Memory Issues on Large Networks

[yizhang-zoey]

I am applying your algorithm to a large_network (a series of snapshots with 15092 nodes and 458198 events).

Compared to the wild_mice_network data (with 437 nodes and 5751692 events), although the number of events is not large, the number of nodes is much larger.
When I executed it in colab, the running time was very long (some hours) and finally ended with unenough RAM.

I would like to know the time/space complexity of your algorithm.

Is there any possible way to simplify it?

Thanks.