Multilayer networks : analysis and visualization : introduction to muxViz with R / Manlio De Domenico.
2022
QA76.9.I52
Linked e-resources
Linked Resource
Online Access
Concurrent users
Unlimited
Authorized users
Authorized users
Document Delivery Supplied
Can lend chapters, not whole ebooks
Details
Title
Multilayer networks : analysis and visualization : introduction to muxViz with R / Manlio De Domenico.
ISBN
9783030757182 (electronic book)
3030757188 (electronic book)
9783030757175 (print)
303075717X
3030757188 (electronic book)
9783030757175 (print)
303075717X
Published
Cham, Switzerland : Springer, [2022].
Language
English
Description
1 online resource (xxxi, 105 pages) : color illustrations
Item Number
10.1007/978-3-030-75718-2 doi
Call Number
QA76.9.I52
Dewey Decimal Classification
001.4/226
Summary
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.
Bibliography, etc. Note
Includes bibliographical references.
Access Note
Access limited to authorized users.
Digital File Characteristics
text file
PDF
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed April 7, 2022).
Available in Other Form
Print version: 9783030757175
Linked Resources
Online Access
Record Appears in
Online Resources > Ebooks
All Resources
All Resources
Table of Contents
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.
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.