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Social Network Big Data Hackathon
at the INSNA Sunbelt Conference
March 13-14, 2012
Crowne Plaza Hotel, Redondo Beach, CA
Manual collection of social network data is so XXth century! New
sources of social network data such as Twitter, Facebook,
OpenCongress, CrunchBase, and many others, present data at the scale
up to 100s of millions of nodes and billions of edges, with millions
of nodes and edges added every hour.
In this environment, traditional SNA algorithms and metrics falter due
to their high computational complexity and difficulty of
parallelization. Big Data approaches such as Map/Reduce, Hive, Pig and
Storm, distributed data storage solutions of Hadoop, Redis and MongoDB
hold a promise that SNA algorithms can be made to work over web-scale
data — but much work is required to make this happen.
Come hack with us and discover new approaches to Big Social Data!
Cost to participate: $25 (as close to "free" as humanly possible).
* Maksim Tsvetovat (George Mason University / DeepMile Networks)
* Jacqueline Kazil (Library of Congress)
* Alex Kouznetsov (independent hacker of big data)
Sponsored by Amazon.com and DeepMile Networks.
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