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Reticula : A temporal network and hypergraph analysis software package
Title / Series / Name
Publication Volume
Publication Issue
Pages
Authors
Editors
Keywords
Graphs
Hypergraphs
Networks
Temporal networks
Software
Computer Science Applications
Hypergraphs
Networks
Temporal networks
Software
Computer Science Applications
URI
https://hdl.handle.net/20.500.14018/27610
Abstract
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.
Topic
Publisher
Place of Publication
Type
Journal article
Date
2023-02-01
Language
ISBN
Identifiers
10.1016/j.softx.2022.101301