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Wolfram Alpha’s Personal Analytics

By sjg / Posted on 03 September 2012

Wolfram Alpha has just launched their new take on social media analysis, building personalised reports for Facebook users. The computational engine builds various metrics and visualisation based on usage over a period of time, number of friends, geographical distribution of friends and even a network graph showing connections between friends. If you head to the Wolfram Alpha website, type in “facebook report” and then link your facebook profile to the site, Wolfram Alpha will collect stats via Facebook’s Open Graph platform and then starts aggregating the data. The real value of a service like this is giving users overview of the actual value of the data hidden inside your Facebook profile.

There were some little gems of information I found in my data. For example, I have a near 50/50 split of male to female friends and around 36% of them are married. My network graph shows all the distinct groups of my friends including UCL friends, Glasgow University friends and my disconnect groups are my family. The biggest insight into my data was my own personal use of facebook mainly involves posting lots of photographs and not that many textual update posts.

It’s really great to see that Wolfram Alpha is joining data like your birthday and historical weather reports or moon phases to give even more insight into your personal data. I think that the most impressive feature is that the speed that the analytics are created. Some of these quires are computationally expensive yet Wolfram Alpha seems to correlate the data extremely quickly and have the interactive graphs ready to view in less than a minute.

If you’re curious about your own facebook analytics then head over to the site and give it a try.

 

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  1. [...] for more info: Wolfram Alpha's Personal Analytics « Big Data Toolkit [...]

     

    on 03 September 2012 / 1:57 PM

     
  2. [...] significant words are: ‘museum’ and ‘gin’. Explains a lot.  Steve over at Big Data Toolkit has a nice post on [...]

     

    on 18 September 2012 / 12:05 PM

     
 

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