Instructor: Prof. Zoran Obradovic www.dabi.temple.edu/~zoran
Office: 386 SERC, 1925 North 12th Street, Philadelphia, PA 19122
Email: zoran.obradovic@temple.edu
Phone: 215.204.6265
Office Hours: Thursday 4:00 - 5:00 pm and by appointment

Goals: Individuals tend to interact with others of similar interests. In turn, their social interactions often influence their activities. Interest in understanding such relationships is rapidly increasing with the advent of online social media. Inferring complex relationships among many entities in a complex evolving system is also of interest in many information networks, including health and climate. This course introduces students to graph-based methods for analyzing and modeling the structures and dynamics of social and information network entities consisting of individuals and their connections. The course is structured to provide ample opportunity for participants to learn how groups function in large social and information networks. This practical course will allow students to scout around for promising social network analysis and modeling research topics through hands-on experience.

Prerequisites: Basic knowledge of programming, statistics, graph theory, and linear algebra.

There is no material or form yet.