Analyzing Social Networks Using R (Paperback)

This approachable book introduces network research in R, walking you through every step of doing social network analysis. Drawing together research design, data collection and data analysis, it explains the core concepts of network analysis in a non-technical way. The book balances an easy to follow explanation of the theoretical and statistical foundations underpinning network analysis with practical guidance on key steps like data management, preparation and visualisation. With clarity and expert insight, it: * Discusses measures and techniques for analyzing social network data, including digital media * Explains a range of statistical models including QAP and ERGM, giving you the tools to approach different types of networks * Offers digital resources like practice datasets and worked examples that help you get to grips with R software

General

Imprint:	Sage Publications Ltd
Country of origin:	United Kingdom
Release date:	April 2022
First published:	2022
Authors:	Stephen P. Borgatti • Martin G. Everett • Jeffrey C. Johnson • Filip Agneessens
Dimensions:	242 x 170 x 25mm (L x W x T)
Format:	Paperback
Pages:	384
ISBN-13:	978-1-5297-2247-5
Categories:	Books > Reference & Interdisciplinary > Communication studies > Research methods Books > Social sciences > Sociology, social studies > Social research & statistics > General
LSN:	1-5297-2247-0
Barcode:	9781529722475

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