| 书目名称 | Higher-Order Systems |
| 编辑 | Federico Battiston,Giovanni Petri |
| 视频video | http://file.papertrans.cn/427/426994/426994.mp4 |
| 概述 | Provides an introduction to and overview of the emerging field of networks beyond pairwise interactions.Includes simplicial complexes, hypergraphs, as well as other higher-order systems.Is an introduc |
| 丛书名称 | Understanding Complex Systems |
| 图书封面 |  |
| 描述 | The book discusses the potential of higher-order interactions to model real-world relational systems. Over the last decade, networks have emerged as the paradigmatic framework to model complex systems. Yet, as simple collections of nodes and links, they are intrinsically limited to pairwise interactions, limiting our ability to describe, understand, and predict complex phenomena which arise from higher-order interactions. Here we introduce the new modeling framework of higher-order systems, where hypergraphs and simplicial complexes are used to describe complex patterns of interactions among any number of agents. This book is intended both as a first introduction and an overview of the state of the art of this rapidly emerging field, serving as a reference for network scientists interested in better modeling the interconnected world we live in. |
| 出版日期 | Book 2022 |
| 关键词 | Higher-order Networks; Topological Data Analysis; Social Contagion; Many-body Interactions; Network Biol |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-030-91374-8 |
| isbn_softcover | 978-3-030-91376-2 |
| isbn_ebook | 978-3-030-91374-8Series ISSN 1860-0832 Series E-ISSN 1860-0840 |
| issn_series | 1860-0832 |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
|Archiver|手机版|小黑屋|
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