ENGLISH

Network Analysis: Integrating Social Network Theory, Method, and Application with R

By Daniel A. , Rawlings , Craig M.; Smith , Jeffrey A.; Moody , James; McFarland

Book information

Publisher
Cambridge University Press
Year
2023
ISBN
9781107037786, 9781139794985, 9781107611900
DOI
10.1017/9781139794985
LCC
HM741 .M3864 2023
Google Books ID
xPHSEAAAQBAJ
Language
english
Format
PDF
Filesize
33 MB (34344769 bytes)
Series
Structural Analysis in the Social Sciences
Edition
1
Pages
455\476
Topic
Computers\\Organization and Data Processing
Orientation
portrait
Paginated
no
Scanned
no
Time added
2024-11-13 17:24:00
Behavioral Sciences and LawResearch Methods In Sociology and CriminologySocial TheorySociologyStatistics and ProbabilityStatistics For Social Sciences

Description

The size and availability of network information has exploded over the last decade. Social scientists now share the stage of network analysis with computer scientists, physicists, and statisticians. While a number of introductions to network analysis are now available, most focus on theory, methods, or application alone. This book integrates all three. Network Analysis is an introduction to both the why and how of Social Network Analysis (SNA). It presents a broad theoretical overview rooted in social scientific approaches and guides users in how network analysis can answer core theoretical questions. It provides a comprehensive overview of descriptive and analytical approaches, including practical tutorials in R with sample data sets. Using an integrated approach, this book aims to quickly bring novice network researchers up to speed while avoiding common programming and analysis mistakes so that they might gain insight into the fundamental theories, key concepts, and methodological application of SNA.

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