Social data is everywhere, but how do we get answers out of it? This meetup will walk through the visual analysis workflows behind two of our social analysis projects at Berkeley and Graphistry. First, to explore why programming languages succeed or fail, we analyzed surveys of 1,000-13,000 developers. Second, to understand Twitter spam, we traced a botnet all the way to identity thieves. For both projects, we built pipelines to go from raw data to interactive visual analyzers, where we finally found our results. Extra fun, we found interactive node-link graphs to be effective visual tools, whether for exploring the raw relationships or understanding the underlying correlation matrices.
Leo Meyerovich co-founded Graphistry, Inc. in Q1 2014 to run big interactive visualizations everywhere through GPU cloud streaming. While still at UC Berkeley, the founding team also built the first parallel web browser. Leo's past research in programming language design explored automatic parallelization (PLDI SRC awards for Superconductor), functional reactive programming (OOPSLA best paper for Flapjax), sociological foundations (OOPSLA best paper and SIGPLAN best-of-year highlight), and in past life, scripting verifiably secure code (ConScript and Margrave). Off-hours, Leo experiments with human computation.
Register here: http://www.meetup.com/Distributed-Work/events/221824428/