Dynamic Network Analysis - Engineering & Public Policy # 19-640
|Instructor:||Dr. Kathleen M. Carley|
Offered Spring 2017Mondays and Wednesdays 1:30pm - 2:30pm
Recitation Wednesdays from 4:30pm - 5:20pm
Room Number: GHC (Gates Hillman Complex) 4102
**The course Dynamic Network Analysis can be counted as an elective for security students in Information Security Policy & Management (MSISPM).
What is a social network? How can you use social network information to make decisions? Are there social or spatial constraints on networks? How do networks change through time? This course covers the fundamentals of network science, the methods, the theories, the research findings & the procedures for data collection. Special attention is payed to the sub-areas of social network analysis, link analysis and visual analytics. Special topics covered include intelligence gathering, information diffusion, corporate marketing, organizational design, security related issues, trust in social media and so on. Students will engage in projects in which they collect, analyze and visualize network data with options for dealing with questionnaire data, archival data, social media data, news data or other network data of interest.
This course provides the basics of social network analytics. Fundamental metrics and advanced methods are covered, with attention to the application areas where these can and have been used. In class projects will cover the application and development of techniques for analyzing a range of networks including, but not limited to, social networks, social-media networks (e.g. twitter networks), geo-spatial constraints on networks, dynamic networks, semantic networks, and alliance networks.