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.
General
Imprint: |
Springer Nature Switzerland AG
|
Country of origin: |
Switzerland |
Series: |
Understanding Complex Systems |
Release date: |
April 2023 |
First published: |
2022 |
Editors: |
Federico Battiston
• Giovanni Petri
|
Dimensions: |
235 x 155mm (L x W) |
Pages: |
433 |
Edition: |
1st ed. 2022 |
ISBN-13: |
978-3-03-091376-2 |
Categories: |
Books
|
LSN: |
3-03-091376-7 |
Barcode: |
9783030913762 |
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