A Brief Introduction to Social Network Analysis and its Applications - Part 3 of 3

This course offers introductory theory and methods in social network analysis (SNA). Split across three sections, students can expect to learn the basic theory behind social network analysis; including basic data management, more advanced analytic tools that use network data to inform us about the structure and nature of social relations, and basic visualization. Each of the three courses will build on the former, however students with some former basic knowledge on social networks can attend later classes (i.e.on analytics or visualizations). While there are many softwares that can be used for SNA, this course is based in R’s igraph or statnet packages. This course encourages but does not require some basic understanding of coding. Students of all stages and abilities are welcome. Free online resources for students will be provided to aid advancement beyond this course.

This third and final session will deal with data visualization and visualization troubleshooting, taking the lessons learned from basic and advanced SNA analysis and applying them to data visualizations, allowing for students to learn how to make publication-worthy data visualizations of network data and analysis.