You can have data without information, but
you cannot have information without data !
So after reading umpteen number of articles about Data Analytics and coming to a conclusion how every random pattern we see has to mean "something" i started racking my brain to understand Facebook + Data Analytics and understand if it means anything. What i found is Facebook Data Science! (lets call it FDS).
So after reading umpteen number of articles about Data Analytics and coming to a conclusion how every random pattern we see has to mean "something" i started racking my brain to understand Facebook + Data Analytics and understand if it means anything. What i found is Facebook Data Science! (lets call it FDS).
FDS is a team
which builds scalable platforms for the collection, management & analysis
of Data. It is fascinating & scary (it makes me feel like i am being watched all the time) how they analyze EVERYTHING an user does on Facebook. And yes, i mean literally EVERYTHING.
Starting with "Whats on your mind" which they use to discover patterns in how people use status updates differently, and how their friends interact with different status updates to vague concepts like "Classmates to Soulmates" the FDS (Facebook Data Science) team took a close look at Facebook data to explore how often people meet their partners while attending the same high school or college, and whether there are any particular schools that seem to have a higher proportion of alumni married to one another. To this end, they examined aggregate, anonymized data on all couples who both list themselves as being married to each other, along with the high schools and colleges they attended.
Starting with "Whats on your mind" which they use to discover patterns in how people use status updates differently, and how their friends interact with different status updates to vague concepts like "Classmates to Soulmates" the FDS (Facebook Data Science) team took a close look at Facebook data to explore how often people meet their partners while attending the same high school or college, and whether there are any particular schools that seem to have a higher proportion of alumni married to one another. To this end, they examined aggregate, anonymized data on all couples who both list themselves as being married to each other, along with the high schools and colleges they attended.
Result : About 28% of married college-graduates attended the same college (interesting)*
It is enthralling to read about these varied analysis and the subsequent conclusions. So next time you wish to know "how many women your age are changing their name after marriage on Facebook?" or "What are the top 10 status terms of 2013"? (and did any of your status updates feature in that list :D) Facebook Data Science is yours to read.
Long Live Social Media & Big Data Analysis!
No comments:
Post a Comment