Description:

A follow-on to Analyzing Social Networks on Twitter, this webcast will concentrate on the social component of Twitter data rather then the questions of data gathering and decomposition. Using a predefined dataset, we will attempt to find communities of people on Twitter that express particular interests. We will also mine Twitter streams for cascades of information diffusion, and determine most influential individuals in these cascades. The webcast will contain an initial introduction to Social Network Analysis methods and metrics.

About Maksim Tsvetovat

Maksim Tsvetovat is an interdisciplinary scientist, a software engineer, and a jazz musician. He has received his doctorate from Carnegie Mellon University in the field of Computation, Organizations and Society, concentrating on computational modeling of evolution of social networks, diffusion of information and attitudes, and emergence of collective intelligence. Currently, he teaches social network analysis at George Mason University. He is also a co-founder of DeepMile Networks, a startup company concentrating on mapping influence in social media. Maksim also teaches executive seminars in social network analysis, including "Social Networks for Startups" and "Understanding Social Media for Decisionmakers".