In the last decade, temporal networks and static and temporal hypergraphs have enabled modelling connectivity and spreading processes in a wide array of real-world complex systems such as economic transactions, information spreading, brain activity and disease spreading. In this manuscript, we present the Reticula C++ library and Python package: A comprehensive suite of tools for working with real-world and synthetic static and temporal networks and hypergraphs. This includes various methods of creating synthetic networks and randomised null models based on real-world data, calculating reachability and simulating compartmental models on networks. The library is designed principally on an extensible, cache-friendly representation of networks, with an aim of easing multi-thread use in the high-performance computing environment.
@article{arxiv.2207.10771,
title = {Reticula: A temporal network and hypergraph analysis software package},
author = {Arash Badie-Modiri and Mikko Kivelä},
journal= {arXiv preprint arXiv:2207.10771},
year = {2023}
}
Comments
Accepted for publication at SoftwareX. Live documentation available at https://docs.reticula.network