论文标题
网状：时间网络和超图分析软件包
Reticula: A temporal network and hypergraph analysis software package
论文作者
论文摘要
在过去的十年中，时间网络以及静态和暂时的超图已使在各种各样的现实世界复杂系统（例如经济交易，信息传播，大脑活动和疾病扩散）中建模连通性和传播过程。在此手稿中，我们介绍了Reticula C ++库和Python软件包：一套全面的工具，用于使用现实世界和合成静态和时间网络以及超图。这包括基于现实世界数据创建合成网络和随机空模型的各种方法，计算到达性和模拟网络上的隔室模型。该库的设计主要是在网络的可扩展，缓存友好的表示形式上设计的，目的是简化在高性能计算环境中的多线程使用。
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.
