A research by a computational knowledge engine shows how people meet and how their life works by analyzing friend and relationship status in Facebook. The research was volunteered by more than a million Facebook users on Wolfram's site. Wolfram research analyzes each and every activity of a user and used it to generate reports for the activity of users in United States.
Reports can be generated for each Facebook user and these reports are amazing. Word cloud, relationship status of friends, distribution of friends' ages, friend network and many other fascinating reports could be generated. Friend clusters are made and friends are classified into social insiders (a friend who share a large number of friends), social outsiders(a friend who shares at most one friend), top social connectors(a friend who connects together group of friends who are otherwise disconnected), top social neighbors(a friend with small number of out-of-network friends - friends of theirs that we don't know) and top social gateways (a friend with large number of out-of-network friends). Basically terms are coined by using graph theory.
These are some of the screenshots from my (Robin Muthukumar) report
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Reports can be generated for each Facebook user and these reports are amazing. Word cloud, relationship status of friends, distribution of friends' ages, friend network and many other fascinating reports could be generated. Friend clusters are made and friends are classified into social insiders (a friend who share a large number of friends), social outsiders(a friend who shares at most one friend), top social connectors(a friend who connects together group of friends who are otherwise disconnected), top social neighbors(a friend with small number of out-of-network friends - friends of theirs that we don't know) and top social gateways (a friend with large number of out-of-network friends). Basically terms are coined by using graph theory.
These are some of the screenshots from my (Robin Muthukumar) report
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My activity in Facebook
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Friends network
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Color coded friends network
Each user can get his/her own report by using this link http://www.wolframalpha.com/facebook/
Data like these were analyzed and compared to the United States census data and both were found to be identical. This kind of research help the Government to monitor people's mindset and pass bills or amend laws accordingly. This kind of research helps politicians to gather their votes.
Data like these were analyzed and compared to the United States census data and both were found to be identical. This kind of research help the Government to monitor people's mindset and pass bills or amend laws accordingly. This kind of research helps politicians to gather their votes.
I actually found out about the wolfram app earlier this semester through another post on this blog. I was just as blown away with its reports as you are. After reading your blog and the article attached, I'm even more interested. The article focuses on the fact that every facebook user who has downloaded the app agreed to having their statistics used for further research. I like how the article basically points out that the Wolfram Alpha app is a two-fold big data analyzer. First, it takes the data from a users facebook page and generates reports like those you received. On top of that however, it takes these reports from ALL the wolfram users and analyzes the data gathered from them. The article highlights some of these points.
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