标题： HIF：高阶网络的超图交换格式 显示英文标题

标题： HIF: The hypergraph interchange format for higher-order networks

摘要： 许多经验系统包含任意规模的复杂交互，例如化学反应、社交群体、合著关系和生态依赖。 这些交互被称为高阶交互，这些交互的集合构成一个高阶网络，或超图。 超图已经确立为这类系统的流行且灵活的数学表示，并且已经设计出多种编程语言编写的软件包来分析这些网络。 然而，由于每个软件的编程接口和兼容的数据表示具有专门性，高阶网络分析软件的生态系统是碎片化的。 为了实现高阶网络分析软件包之间的无缝数据交换，我们引入了超图交换格式（HIF），一种用于存储高阶网络数据的标准格式。 HIF支持多种类型的高阶网络，包括无向超图、有向超图和单纯复形，同时积极探索扩展以表示多路复用超图、时间超图和有序超图。 为了适应不同上下文中使用的广泛元数据，HIF还支持与节点、边和关联相关的属性。 这项举措是来自著名超图软件包的作者、维护者和贡献者的协作努力。 该项目引入了一个JSON模式，以及相应的文档和单元测试，示例HIF兼容数据集，以及演示如何使用HIF与几种流行的高阶网络分析软件包的教程。 显示英文摘要

摘要： Many empirical systems contain complex interactions of arbitrary size, representing, for example, chemical reactions, social groups, co-authorship relationships, and ecological dependencies. These interactions are known as higher-order interactions and the collection of these interactions comprise a higher-order network, or hypergraph. Hypergraphs have established themselves as a popular and versatile mathematical representation of such systems and a number of software packages written in various programming languages have been designed to analyze these networks. However, the ecosystem of higher-order network analysis software is fragmented due to specialization of each software's programming interface and compatible data representations. To enable seamless data exchange between higher-order network analysis software packages, we introduce the Hypergraph Interchange Format (HIF), a standardized format for storing higher-order network data. HIF supports multiple types of higher-order networks, including undirected hypergraphs, directed hypergraphs, and simplicial complexes, while actively exploring extensions to represent multiplex hypergraphs, temporal hypergraphs, and ordered hypergraphs. To accommodate the wide variety of metadata used in different contexts, HIF also includes support for attributes associated with nodes, edges, and incidences. This initiative is a collaborative effort involving authors, maintainers, and contributors from prominent hypergraph software packages. This project introduces a JSON schema with corresponding documentation and unit tests, example HIF-compliant datasets, and tutorials demonstrating the use of HIF with several popular higher-order network analysis software packages.