13 February 2015

With friends like these…

Everybody around me has been waxing eloquent about “Data and Analytics” and something else called “Big Data” or something. Being the most ignorant on these issues, I asked somebody to help me. I was told that data is like people. If you keep interrogating them, eventually, they will tell you what you want to hear 🙂

So, I tried something last night. I took all my Facebook posts of this month and checked how many of my friends liked each one of them. And therefore what did it say about my friends.

To refresh your memory, this month, I had the recent case of when I made an idiot of myself (went to the airport when I did not need to), an inspiring story of the family who have adopted multiple kids from Ethiopia and China, the random saxophone player I made friends with at Atlanta airports, some usual posts of cocktails I made and some runs I put in – one of them showing only grainy pictures of Biscayne Bay, a funny poster asking if you are drunk, meeting an old friend and his wife in Houston and a very interesting puzzle involving permutation and combination.
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Posted February 13, 2015 by Rajib Roy in category "Doodles

12 COMMENTS :

  1. By Paul McKinney on

    ok, after years of analyzing the way FB tweaks distributions your map isn’t that unrealistic, but I would make some changes.. instead of mapping “likes” try it with shares and comments as these are what FB uses to basically boost your post. When you initially post it is only seen by about 1.5% of your friends that you have either recently visited, have commented on a post or have visited your wall. Humor with a picture gets the highest level hits, then weddings, babies, and old people. animals fall somewhere around babies. BTW Goggle is now a better advertising spend than FB.

    Reply
  2. By Paul McKinney on

    so I guess it becomes is 80% likes of 1.5% of your friends better or worse than 50% shares/comments from 6% of your friends (at one time this was called Engagement, but they’ve changed that too). I do like your Analytics!

    Reply

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