1867452561     

Network analysis : integrating social network theory, method, and application with R / Craig M. Rawlings [and three others]

Cambridge : Cambridge University Press, 2023

1 online resource (xix, 455 pages) : digital, PDF file(s).

Englisch

Title from publisher's bibliographic system (viewed on 22 Sep 2023)

Erscheint auch als: (Druck-Ausgabe)

978-1-139-79498-5 (ebook); 978-1-107-03778-6 (hardback); 978-1-107-61190-0 (paperback)

978-1-107-03778-6 (ISBN der Printausgabe)

OCoLC: 1407199314     

Elektronische Ressource: Zugang über Resolving-System (Lizenzangabe: Lizenzpflichtig)

Digital Object Identifier (DOI): 10.1017/9781139794985

302.3072     Ähnliche Literatur

LOC-SH: Social sciences -- Network analysis ; Social networks -- Research -- Methodology ; Application software ; Web applications

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.