Using Python for Social Network Analysis Online
Date: This event took place live on November 02 2012
Presented by: Maksim Tsvetovat
Duration: Approximately 60 minutes.
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Does your startup or existing business rely on social network analysis? Join us for a fascinating webcast where we will talk about discourse mapping and understanding networks of people that form around conversation topics. We'll explore deriving network connections from twitter hashtags, and learn to measure propagation of a hashtag in time and space. This webcast will help you identify social processes hidden among the tons of data now available. Experience with Python programming recommended.
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".