How to Install Portia with Virtualenv / Vagrant ?
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Twitter data collection tools (applications):
Twitter data collection tools (modules & libraries; require programming knowledge):
Facebook data collection tools (applications):
Facebook data collection tools (modules & libraries; require programming knowledge):
Social data vendors (these sell data for analysis within their own platforms or independently):
Other (misc links that don’t belong under any of the other sections)
Learning #Ruby because after a decade of messing with existing code it is time for me to start/learn one language & from there reconnect with what I already know.
Then I can move from there into messing with PHP, JS and HTML5 again.
And you know what ? I'm loving it !
Find out how Packt Publishing, a company editing books for developers, used linkurious.js to build one giant Python graph to understand how its content relate to StackOverflow topic
I need to find/code a command line tool that store tweets metadata in real time a bit like flocker.outliers.es but on the terminal. I want to be able to trigger the command when new #socialmedia storms arise with the ultimate ability to save the data on the GEXF format file so I can import it back to Gephi/Neo4j or other #Dataviz tools. The next step would be to make this code able to detect new social media storms or "moments" and start storing metadata when any particular #hashtag rise above a certain thresholds. the idea is that not always you find yourself at the beginning of a social media storm. the code need to be able to detect in some measure possible storms and store the data for later analysis.
another feature would be to have a nice dashboard to browse & visualize the stored #datasets using #Linkurious - of course this tool would need to be able to dive into the Twitter API to realize all these possibilities but we all know Twitter constant limitations on using it's API, so I was wondering about the possibilities to use "web scrapping" instead of API methods and bypass over-limitations by Twitter like going back in time more then X days or more then X Tweets. I'm not sure what would be the best language to go ahead with this idea, but maybe NodeJS or Python ?