A User’s Guide to Network Analysis in R

verfasst von: Douglas Luke

Verlag: Springer International Publishing

Buchreihe : Use R!

Enthalten in: Springer Professional "Wirtschaft+Technik" , Springer Professional "Technik" , Springer Professional "Wirtschaft"

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Über dieses Buch

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.

Inhaltsverzeichnis

Chapter 1. Introducing Network Analysis in R

Abstract

This book is a user’s guide for conducting network analysis in the R statistical programming language. Networks are all around us. Humans naturally organize themselves in networked systems. Our families and friends form personal social networks around each of us. Neighborhoods and communities organize themselves in networked coalitions to advocate for change. Businesses work with (and against) each other in complex, interlocking networks of trade and financial partnerships. Public health is advanced through partnerships and coalitions of governmental and NGO organizations (Luke and Harris 2007). Nations are connected to one another through systems of migration, trade, and treaty obligations.

Titel: A User’s Guide to Network Analysis in R
verfasst von: Douglas Luke
Verlag: Springer International Publishing
Electronic ISBN: 978-3-319-23883-8
Print ISBN: 978-3-319-23882-1
DOI: https://doi.org/10.1007/978-3-319-23883-8

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