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Network Analysis

Publication ,  Book
Rawlings, CM; Smith, JA; Moody, J; McFarland, DA
October 5, 2023

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.

Duke Scholars

DOI

ISBN

9781107037786

Publication Date

October 5, 2023

Publisher

Cambridge University Press
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Rawlings, C. M., Smith, J. A., Moody, J., & McFarland, D. A. (2023). Network Analysis. Cambridge University Press. https://doi.org/10.1017/9781139794985
Rawlings, Craig M., Jeffrey A. Smith, James Moody, and Daniel A. McFarland. Network Analysis. Cambridge University Press, 2023. https://doi.org/10.1017/9781139794985.
Rawlings CM, Smith JA, Moody J, McFarland DA. Network Analysis. Cambridge University Press; 2023.
Rawlings, Craig M., et al. Network Analysis. Cambridge University Press, 2023. Crossref, doi:10.1017/9781139794985.
Rawlings CM, Smith JA, Moody J, McFarland DA. Network Analysis. Cambridge University Press; 2023.
Journal cover image

DOI

ISBN

9781107037786

Publication Date

October 5, 2023

Publisher

Cambridge University Press