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https://github.com/jrmontag/analyzeboulder-socialpulse
"Social Media Pulse" Presentation for Feb 2014 Analyze Boulder Meetup
https://github.com/jrmontag/analyzeboulder-socialpulse
Last synced: 1 day ago
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"Social Media Pulse" Presentation for Feb 2014 Analyze Boulder Meetup
- Host: GitHub
- URL: https://github.com/jrmontag/analyzeboulder-socialpulse
- Owner: jrmontag
- Created: 2014-01-21T20:48:04.000Z (over 10 years ago)
- Default Branch: master
- Last Pushed: 2014-02-06T00:43:04.000Z (over 10 years ago)
- Last Synced: 2023-04-09T09:50:48.918Z (over 1 year ago)
- Language: CSS
- Homepage: http://jrmontag.github.io/AnalyzeBoulder-SocialPulse
- Size: 3.19 MB
- Stars: 2
- Watchers: 2
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Social Media Pulse
2014-02-04, Josh Montague ([@jrmontag](http://www.twitter.com/jrmontag))
[Presentation slides](http://jrmontag.github.io/AnalyzeBoulder-SocialPulse)+ for the 2014-02-05 [AnalyzeBoulder Meetup](http://www.meetup.com/Analyze-Boulder/events/156806792/). [ Shareable [bit.ly link](http://bit.ly/AB-Pulse) ]
Meant to be a ~10-minute introduction to social data and a model on which we're working that describes the result of many users sharing unexpected events on social media platforms.
In the `data/` directory there is an IPython notebook that generates the figures used in the slides. With the proper packages installed (`numpy, pandas, matplotlib, statsmodels`), you can fork/clone this repo and explore on your own machine. If you don't want to experience the fun of an initial `numpy` install, you can also [view it statically on nbviewer](http://nbviewer.ipython.org/github/jrmontag/AnalyzeBoulder-SocialPulse/blob/master/data/AB_social-pulse.ipynb).
Enjoy.