Recovering lost and absent information in temporal networks

Jim Bagrow
@bagrow
https://bagrow.com

Usage

See recovering_information.sparse_recover to get started.

Requirements

• Python 3.x with packages:
  • Numpy
  • scikit-learn
  • (NetworkX is optional but useful.)

A recent install of Anaconda Python should come with everything you need.

Citation

If you use our method, please cite our paper:

James P. Bagrow and Sune Lehmann, Recovering lost and absent information in temporal networks (2021).

@unpublished{bagrow2021recovering,
    Author = {Bagrow, James P. and Lehmann, S.},
    Title = {Recovering lost and absent information in temporal networks},
    Year = {2021}
}