This Python code implements the experimental results described in the book chapter:
[1] https://arxiv.org/abs/1705.02305
The supracentrality framework is also described in
[2] D Taylor, MA Porter and PJ Mucha (2019) "Tunable eigenvector-based centralities for multiplex and temporal networks." arXiv preprint available at https://arxiv.org/abs/1904.02059.
[3] D Taylor, SA Myers, A Clauset, MA Porter and PJ Mucha (2017) "Eigenvector-based centrality measures for temporal networks." Multiscale Modeling & Simulation 15(1), 537-574.
The results shown in [2] and [3] were created using Matlab code.
To see the code for [2], go to the 'matlab_code' branch of this repository: https://github.com/taylordr/supracentrality/tree/matlab_code
To see the code for [3], go to https://github.com/taylordr/Temporal_Eigenvector_Centrality