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Multilayer networks, Bianconi, Ginestra (reader In Applied Mathematics, Reader In Applied Mathematics, School Of Mathematical Sciences, Queen Mary University Of London, Uk


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Цена: 4750.00р.
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Автор: Bianconi, Ginestra (reader In Applied Mathematics, Reader In Applied Mathematics, School Of Mathematical Sciences, Queen Mary University Of London, Uk
Название:  Multilayer networks
ISBN: 9780192865540
Издательство: Oxford Academ
Классификация:







ISBN-10: 0192865544
Обложка/Формат: Paperback
Страницы: 416
Вес: 0.82 кг.
Дата издания: 27.10.2022
Язык: English
Иллюстрации: 96 figures/illustrations
Размер: 172 x 245 x 25
Читательская аудитория: Tertiary education (us: college)
Подзаголовок: Structure and function
Ссылка на Издательство: Link
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Поставляется из: Англии
Описание: Multilayer networks has become a central topic in Network Science. The book presents a comprehensive account of this emerging field. Multilayer networks are formed by several networks and include social networks, financial markets, multi-modal transportation systems, infrastructures, molecular networks, and the brain.


Multilayer Social Networks

Автор: Dickison
Название: Multilayer Social Networks
ISBN: 1107079497 ISBN-13(EAN): 9781107079496
Издательство: Cambridge Academ
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Цена: 13147.00 р.
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Описание: Multilayer networks are an emerging and active interdisciplinary area. This book unifies and consolidates existing practical and theoretical knowledge on the topic including data collection and analysis, modeling, and mining of multilayer social network systems, and the evolution of dynamic processes such as information spreading.

Multilayer Networks: Analysis and Visualization

Автор: De Domenico
Название: Multilayer Networks: Analysis and Visualization
ISBN: 303075717X ISBN-13(EAN): 9783030757175
Издательство: Springer
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Цена: 20962.00 р.
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Описание: The adoption of multilayer analysis techniques is rapidly expanding across all areas of knowledge, from social sciences (the first facing the complexity of such structures, decades ago) to computer science, from biology to engineering. However, until now, no book has dealt exclusively with the analysis and visualization of multilayer networks. Multilayer Networks: Analysis and Visualization provides a guided introduction to one of the most complete computational frameworks, named muxViz, with introductory information about the underlying theoretical aspects and a focus on the analytical side. Dozens of analytical scripts and examples to use the muxViz library in practice, by means of the Graphical User Interface or by means of the R scripting language, are provided. In addition to researchers in the field of network science, as well as practitioners interested in network visualization and analysis, this book will appeal to researchers without strong technical or computer science background who want to learn how to use muxViz software, such as researchers from humanities, social science and biology: audiences which are targeted by case studies included in the book. Other interdisciplinary audiences include computer science, physics, neuroscience, genetics, urban transport and engineering, digital humanities, social and computational social science. Readers will learn how to use, in a very practical way (i.e., without focusing on theoretical aspects), the algorithms developed by the community and implemented in the free and open-source software muxViz. The data used in the book is available on a dedicated (open and free) site.

Multilayer Network Science: From Cells to Societies

Автор: Arsham Ghavasieh, Barbara Benigni, Giulia Bertagnolli, Manlio De Domenico, Oriol Artime, Riccardo Gallotti, Sebastian Raimondo, Valeria d`Andrea
Название: Multilayer Network Science: From Cells to Societies
ISBN: 1009087304 ISBN-13(EAN): 9781009087308
Издательство: Cambridge Academ
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Цена: 2851.00 р.
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Описание: In this Element the authors review the most salient features of multilayer network science, covering both theoretical aspects and direct applications to real-world coupled/interdependent systems, from the point of view of multilayer structure, dynamics and function.


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