Take-aways
classify + quantify a slice of the firehose
Social Media Pulse
Social
~ a decade into the social data revolution [HBR, 2009]:
Twitter, Tumblr, Foursquare, Facebook, Disqus, WordPress, IntenseDebate, GetGlue, StockTwits, Estimize, Newsgator, Bitly, del.icio.us, flickr, Google+, Instagram, Metacafe, Panoramio, Photobucket, Plurk, Reddit, StackOverflow, Vimeo, VK, YouTube, ....
sharing, communicating, networking
cheaper than a census, real-time, many participants...
Last week on Twitter & Tumblr
Focus
social channels span full human space
[
NBC.com
]
[
socialitelife.com
]
identify, analyze isolated events
Expected
Unexpected
Expected
warning/forecast + conversation
Unexpected
unprecedented simultaneous observationExpected
Winter Storm Janus
Virginia earthquake
Unexpected
Social Media Pulse
(I promise this is the only slide with equations)
unexpected event at time \(t=0\)
probability of someone sharing, \( p_1(t) = \lambda e^{-\lambda t} \)
\(N\) people \(\rightarrow \sum_{i=1}^{N} \text{Exp} \sim \frac{\beta^{\alpha}}{\Gamma(\alpha)} t^{\alpha - 1} e^{-\beta t}\)
\( \rightarrow \alpha, \beta \)
so what?
divergence
parameters \(\rightarrow\) reality
news stories begin to circulate