Network Analysis: Integrating Social Network Theory, Method, and Application with R (by Craig Rawlings, Jeffrey A. Smith, James Moody, and Daniel McFarland) is a manuscript offering substantive, theoretical and methodological discussions on how to conceptually conduct network analysis. The printed manuscript is available through Cambridge University Press. The associated R tutorials serve as a practical counterpart, offering detailed examples on how to manipulate, visualize, summarize and analyze network data in R. The R tutorials can be found here: R Tutorials for Integrating Social Network Theory, Method, and Application with R. The book covers a wide range of topics related to network analysis. Topics include:

• Data Management
• Missing Data
• Visualization
• Ego Networks
• Dyads and Triads
• Cohesion and Communities
• Centrality
• Positions and Roles
• Affiliations and Duality
• Networks and Culture
• Statistical Network Models
• Diffusion
• Social Influence