Breaking up is hard to do, but for many Facebook users, their friends rally around them to provide comfort immediately after the change in their relationship statuses, according to the final installment in the Valentine’s Day series by the Facebook Data Science Team.
Facebook Data Science Team
What happens to status updates before and after two Facebook users enter into relationships? The Facebook Data Science Team was on the case as part of its series on love and Facebook for Valentine’s Day week.
The Facebook Data Science Team’s study of love on the social network during Valentine’s Day week continued with a look at the relationship between the length of relationships and the success of relationships.
Detroit has the highest percentage of single people among U.S. cities, while single people are most likely to find relationships in Colorado Springs, Colo., and the ratio favors males seeking opposite-sex relationships in Memphis, Tenn., while females find the most favorable numbers in San Francisco, according to some Valentine’s Day facts and figures released by the Facebook Data Science Team and the social network’s consumer communications department.
Facebook continued its Valentine’s Day week series of studies by the Facebook Data Science Team with a look at the age differences in opposite-sex relationships on the social network, with information mined from anonymized, aggregated data on users with average ages of between 20 and 49.
Love is in the air for the Facebook Data Science Team, as it is devoting Valentine’s Day week to a series of blog posts analyzing related trends among the social network’s users. The first installment, written by Mike Develin, focused on religion.
With Super Bowl XLVIII set to conclude the 2013 National Football League season Sunday, the Facebook Data Science Team examined the emotional side of the sport, analyzing the sentiment of posts by fans before, during, and after games, and throughout the season, and highlighting the differences between wins and losses.
In the old children’s game commonly referred to as telephone, the first player whispered a message to the second player, and the message was passed through the chain of participants until it reached the final player, and that player’s version of the message was then compared with the original, as the message was usually changed during the process. Lada Adamic, Thomas Lento, Eytan Adar, and Pauline Ng of the Facebook Data Science Team found in a study that the same principle applies to memes on the social network.
Aude Hofleitner, Ta Virot Chiraphadhanakul, and Bogdan State of the Facebook Data Science Team tapped into the social network’s wealth of information to examine what they call coordinated migration, when a significant number of users moved from one city to another, by analyzing aggregate, anonymized data on all users who list both their hometowns and current cities on their profiles.
How many Facebook users left high school or college with both a diploma and a spouse or future spouse? The Facebook Data Science Team did some digging to find out.