CLRES 2605 - COMPUTER METHODS FOR SOCIAL NETWORKS

Minimum Credits: 1
Maximum Credits: 1
This course provides hands-on training in social network analysis using 3 different software packages: UCINet, R, and Gephi. It is intended for those students who are interested in conducting their own social network studies using the latest available software. It is a time-intensive lab and project course. Topics to be covered include: -How to use UCINet to conduct intermediate and advanced SNA -How to use R to use custom SNA packages -How to use Gephi to conduct basic SNA and generate descriptive network graphs This course consists of in-class examples using SNA software, designing a network analysis plan in consideration of software features, and a final project. Assignments are designed to build components of a full network study, using specific analytic features from available software, visualizing network(s), and culminating in the final project. Individual projects will use data that can be provided or is collected by the student themselves.
Academic Career: Graduate
Course Component: Lecture
Grade Component: Grad LG/SNC Basis
Course Requirements: PREQ: CLRES 2600

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