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

Multilayer Networks: Analysis and Visualization is a comprehensive guide to analyzing and visualizing multilayer networks, covering theoretical aspects and providing practical examples using the muxViz library. It appeals to a wide range of audiences, including researchers from humanities, social science, and biology, and is targeted at researchers without strong technical or computer science backgrounds.

Format: Paperback / softback
Length: 105 pages
Publication date: 02 April 2023
Publisher: Springer Nature Switzerland AG

The adoption of multilayer analysis techniques is experiencing a rapid expansion across diverse fields of knowledge, ranging from social sciences to computer science, biology to engineering. Despite this proliferation, there has been a lack of dedicated books focused solely on the analysis and visualization of multilayer networks. Multilayer Networks: Analysis and Visualization fills this gap by providing a comprehensive and guided introduction to the muxViz computational framework. The book begins with introductory information about the theoretical underpinnings of multilayer networks, while also emphasizing their analytical aspects. It offers a multitude of analytical scripts and examples, accompanied by detailed explanations, to facilitate practical usage of the muxViz library through either the Graphical User Interface or the R scripting language. This book appeals to a wide range of audiences, including researchers in network science, practitioners interested in network visualization and analysis, as well as scholars from humanities, social sciences, and biology who wish to learn how to utilize muxViz software. Furthermore, it has relevance to interdisciplinary fields such as computer science, physics, neuroscience, genetics, urban transport, engineering, digital humanities, social and computational social science. Readers will gain hands-on experience in using the algorithms developed by the community and implemented in the freely available and open-source muxViz software. Additionally, the book's data is made accessible on a dedicated (open and free) website, further enhancing the practicality and accessibility of the material.

Weight: 364g
Dimension: 279 x 210 (mm)
ISBN-13: 9783030757205
Edition number: 1st ed. 2022