Scientists have developed an algorithm using which it can be predicted who you are dating and when are you possibly going to break up. The algorithm predicts results on the basis of the number of mutual friend between two.
The algorithm is developed by a Cornell University professor Jon Kleinberg and a senior Facebook engineer Lars Backstrom. They takes advantage of a new metric system called "disperson," which looks at connections between people who have different sets of friends. Kleinberg and Backstrom studied data from 1.3 million randomly selected, anonymous Facebook users, all of whom were at least 20 years old, with anywhere from 50 to 2,000 friends, and all of whom indicated in their profiles that they were in relationships, analyzing a total of some 379 million nodes and 8.6 billion links.
They found that by using dispersion to study the partners’ relationships, rather than embeddedness, they were able to more accurately identify the partners. They predicted with a accuracy of 60 percent of whom they are dating which is much larger than 2 percent, which is the prediction accuracy otherwise. They also found that the couples with lots of mutual friends have higher chances of breaking up.
High dispersion also seems to be correlated with longer relationships, researchers said. Couples were 50 per cent more likely to break up in the next two months if the dispersion algorithm failed to guess that they were dating, the study found.
Here is my question for the readers : Do you really think that the friend list can be used as a tool to predict partners and when are they going to break up? Do give your views on comment section and do not forget to share the article with your friends too if you liked it.
The algorithm is developed by a Cornell University professor Jon Kleinberg and a senior Facebook engineer Lars Backstrom. They takes advantage of a new metric system called "disperson," which looks at connections between people who have different sets of friends. Kleinberg and Backstrom studied data from 1.3 million randomly selected, anonymous Facebook users, all of whom were at least 20 years old, with anywhere from 50 to 2,000 friends, and all of whom indicated in their profiles that they were in relationships, analyzing a total of some 379 million nodes and 8.6 billion links.
They found that by using dispersion to study the partners’ relationships, rather than embeddedness, they were able to more accurately identify the partners. They predicted with a accuracy of 60 percent of whom they are dating which is much larger than 2 percent, which is the prediction accuracy otherwise. They also found that the couples with lots of mutual friends have higher chances of breaking up.
High dispersion also seems to be correlated with longer relationships, researchers said. Couples were 50 per cent more likely to break up in the next two months if the dispersion algorithm failed to guess that they were dating, the study found.
Here is my question for the readers : Do you really think that the friend list can be used as a tool to predict partners and when are they going to break up? Do give your views on comment section and do not forget to share the article with your friends too if you liked it.
