A User’s Guide to Network Analysis in R

Nonfiction, Science & Nature, Mathematics, Applied, Computers, Application Software
Cover of the book A User’s Guide to Network Analysis in R by Douglas Luke, Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Douglas Luke ISBN: 9783319238838
Publisher: Springer International Publishing Publication: December 14, 2015
Imprint: Springer Language: English
Author: Douglas Luke
ISBN: 9783319238838
Publisher: Springer International Publishing
Publication: December 14, 2015
Imprint: Springer
Language: English

Presenting a comprehensive resource for the mastery of network analysis in R, the goal of Network Analysis with R is to introduce modern network analysis techniques in R to social, physical, and health scientists. The mathematical foundations of network analysis are emphasized in an accessible way and readers are guided through the basic steps of network studies: network conceptualization, data collection and management, network description, visualization, and building and testing statistical models of networks. As with all of the books in the Use R! series, each chapter contains extensive R code and detailed visualizations of datasets. Appendices will describe the R network packages and the datasets used in the book. An R package developed specifically for the book, available to readers on GitHub, contains relevant code and real-world network datasets as well.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Presenting a comprehensive resource for the mastery of network analysis in R, the goal of Network Analysis with R is to introduce modern network analysis techniques in R to social, physical, and health scientists. The mathematical foundations of network analysis are emphasized in an accessible way and readers are guided through the basic steps of network studies: network conceptualization, data collection and management, network description, visualization, and building and testing statistical models of networks. As with all of the books in the Use R! series, each chapter contains extensive R code and detailed visualizations of datasets. Appendices will describe the R network packages and the datasets used in the book. An R package developed specifically for the book, available to readers on GitHub, contains relevant code and real-world network datasets as well.

More books from Springer International Publishing

Cover of the book Knowledge Discovery, Knowledge Engineering and Knowledge Management by Douglas Luke
Cover of the book Conquest of Body by Douglas Luke
Cover of the book The Caribbean Oral Tradition by Douglas Luke
Cover of the book Rhetorical Audience Studies and Reception of Rhetoric by Douglas Luke
Cover of the book Innovative Trend Methodologies in Science and Engineering by Douglas Luke
Cover of the book Terror in Global Narrative by Douglas Luke
Cover of the book Respiratory Infections by Douglas Luke
Cover of the book Model-Reference Robust Tuning of PID Controllers by Douglas Luke
Cover of the book Cyberphysical Systems for Epilepsy and Related Brain Disorders by Douglas Luke
Cover of the book Internationalization in Vocational Education and Training by Douglas Luke
Cover of the book Philosophical Clarifications by Douglas Luke
Cover of the book Overcoming Workplace Pathologies by Douglas Luke
Cover of the book Israeli Sociology by Douglas Luke
Cover of the book Design Computing and Cognition '14 by Douglas Luke
Cover of the book New Trends in Analysis and Interdisciplinary Applications by Douglas Luke
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy