Authors:
- Provides a practical, hands-on tour of the major network analytic tasks R is capable of, including network data management, network visualization, network description, and network modeling
- Includes all R code needed for examples used throughout the book
- Serves as an excellent reference resource for teaching and learning network science, analytics, and techniques
- Includes supplementary material: sn.pub/extras
Part of the book series: Use R! (USE R)
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Table of contents (13 chapters)
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Front Matter
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Network Analysis Fundamentals
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Front Matter
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Visualization
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Front Matter
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Description and Analysis
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Front Matter
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Modeling
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Front Matter
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Back Matter
About this book
Authors and Affiliations
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Center for Public Health Systems Science, George Warren Brown School of Social Work, Washington University, St. Louis, USA
Douglas Luke
About the author
Bibliographic Information
Book Title: A User’s Guide to Network Analysis in R
Authors: Douglas Luke
Series Title: Use R!
DOI: https://doi.org/10.1007/978-3-319-23883-8
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer International Publishing Switzerland 2015
Softcover ISBN: 978-3-319-23882-1Published: 21 December 2015
eBook ISBN: 978-3-319-23883-8Published: 14 December 2015
Series ISSN: 2197-5736
Series E-ISSN: 2197-5744
Edition Number: 1
Number of Pages: XII, 238
Number of Illustrations: 11 b/w illustrations, 81 illustrations in colour
Topics: Mathematical Modeling and Industrial Mathematics, Mathematical Applications in Computer Science, Statistics and Computing/Statistics Programs