Social Media Network Analysis

Catalog description

An introduction to the theory and methods employed in social network analysis with a focus on the application on social media. Starting from basic concepts and components of network analysis, and moving to more complex network models, with examples provided from frontier research in the field of political science, international relations, and security studies. Topics include: network theory, data collection from social media, describing, measuring, and visualizing networks, nodes and edges, graph-level indices, exponential random graph models, network regression, network autocorrelation models, temporal models of social networks, and more. Both descriptive and inferential approaches are covered with an emphasis on the use of network methods for theory testing and social media analysis. Also introduced is the R statistical computing system for network analysis and Rstudio, with opportunities to carry out hands-on, self-directed data manipulation and network analysis within the R environment. Lecture Hours: 3 Contact Hours: 80 Repeatability: May not be repeated for credit. Grade Mode: N- Normal (A, B, C, D, F) Major Restrictions: INSC- Intelligence & Security Studies Schedule Type (Primary): Asynchronous Instruction Click here for the Schedule of Classes.