Maksim Tsvetovat is an interdisciplinary scientist, a software engineer, a published author 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 is the author of "Social Network Analysis for Startups", a practical guide to analyzing social data with Python.
He has presented at numerous industry and academic conferences, including TEDxMoscow, Sunbelt 2001-2011, and many AAAI and ACM conferences.
Maksim also teaches seminars in social network analysis, including "Social Networks for Startups" and "Understanding Social Media for Decisionmakers".
- March 8th 9 a.m. – 12:20 p.m.
- Social Network Analysis with Python