persistence¶

persistence(communities, calc='global')[source]¶

Persistence is the proportion of consecutive time-points that a temporal community is in the same community at the next time-point

Parameters:	communities (array) – temporal communities of type: node,time (singlelabel) or node,node,time (for multilabel) communities calc (str) – can be ‘global’, ‘time’, or ‘node’
Returns:	persit_coeff – the percentage of nodes that calculate the overall persistence (calc=global), or each node (calc=node), or for each time-point (calc=time)
Return type:	array

References

Bazzi, Marya, et al. “Community detection in temporal multilayer networks, with an application to correlation networks.” Multiscale Modeling & Simulation 14.1 (2016): 1-41.

Note

Bazzi et al present a non-normalized version with the global output.