Statistical Analysis of Network Data with R

ISBN-10: 1493909827
ISBN-13: 9781493909827
Edition: 2014
List price: $39.99
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Description: This book is the first of its kind in network research. It can be used as a stand-alone resource in which multiple R packages are used to illustrate how to use the base code for many tasks. igraph is the central package and has created a standard  More...

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Book details

List price: $39.99
Copyright year: 2014
Publisher: Springer London, Limited
Publication date: 5/23/2014
Binding: Paperback
Pages: 207
Size: 6.25" wide x 9.00" long x 0.50" tall
Weight: 0.990
Language: English

This book is the first of its kind in network research. It can be used as a stand-alone resource in which multiple R packages are used to illustrate how to use the base code for many tasks. igraph is the central package and has created a standard for developing and manipulating network graphs in R. Measurement and analysis are integral components of network research. As a result, there is a critical need for all sorts of statistics for network analysis, ranging from applications to methodology and theory. Networks have permeated everyday life through everyday realities like the Internet, social networks, and viral marketing, and as such, network analysis is an important growth area in the quantitative sciences. Their roots are in social network analysis going back to the 1930s and graph theory going back centuries. This text also builds on Eric Kolaczyk's book Statistical Analysis of Network Data (Springer, 2009).

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