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Multilayer Networks: Analysis and Visualization = Introduction to muxViz with R /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Multilayer Networks: Analysis and Visualization / by Manlio De Domenico.
其他題名:	Introduction to muxViz with R /
作者:	De Domenico, Manlio.
面頁冊數:	XXXI, 105 p.online resource. :
Contained By:	Springer Nature eBook
標題:	Complex Systems. -
電子資源:	https://doi.org/10.1007/978-3-030-75718-2
ISBN:	9783030757182

Multilayer Networks: Analysis and Visualization = Introduction to muxViz with R /
De Domenico, Manlio.

Multilayer Networks: Analysis and Visualization Introduction to muxViz with R /[electronic resource] :by Manlio De Domenico. - 1st ed. 2022. - XXXI, 105 p.online resource.

Part 1. Multilayer Network Science: Analysis and Visualization -- 1. Introduction -- 2. Multilayer Networks: Overview -- 3. Multilayer Analysis: Fundamentals and Micro-scale -- 4. Multilayer Versatility and Triads -- 5. Multilayer Organization: Meso-scale -- 6. Other Multilayer Analyses based on Dynamical Processes -- 7. Visualizing Multilayer Networks and Data -- Part 2. Appendices -- A. Installing and Using muxViz.

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.

ISBN: 9783030757182

Standard No.: 10.1007/978-3-030-75718-2doiSubjects--Topical Terms:

888664
Complex Systems.

LC Class. No.: TK5105.5-5105.9

Dewey Class. No.: 004.6

Multilayer Networks: Analysis and Visualization = Introduction to muxViz with R /
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