Facebook goes hyper-viral with 'People You May Know'
Facebook has about 67 million members. With the new "People You May Know" feature, the number of connections per member will skyrocket, extending the reach and stickiness of Facebook's social graph.
People You May Know finds people within six degrees or so of separation and suggests them as potential friends. It appears that the threshold is set at four, meaning you are connected to four of the same people as the suggested "friend." FriendFeed has taken a somewhat similar approach for recommending new people to "follow."
This type of recommendation engine, which taps into the social graph, is like a Las Vegas slot machine that keeps on giving. Every time you pull the lever you get a bunch of new friend connections, which makes you want to keep pulling the lever until it runs out of recommendations.
The end result is that Facebook generates some exponential growth, creating more density in its web of people connections. And, Facebook members now have an easy way to find new connections based on relationship proximity, as well as a potential source of irritation as they get inundated with friends of friends requesting connections.
Along with the new privacy options, the forthcoming chat service, and People You May Know, Facebook is making some smart moves to stay ahead in the social-networking game.
Dan Farber is editor in chief of CBS Interactive News, which includes CBSNews.com and CNET News. He has more than 25 years of experience as an editor and journalist covering technology. E-mail Dan. 




"Facebook has about 67,000 million members."
Last time I checked, world population was like "7,000 millions"... So has Facebooks like 10 times that number?
Wow!
http://www.facebook.com/apps/application.php?id=5962631843
Facebook stole the idea without giving me any credit. Dan says "Facebook is making some smart moves" but I already had this developed for Facebook last year. They simply took it.
- by ChrisLang March 28, 2008 8:31 PM PDT
- It sounds like social marketing and networking is about to hit a tipping point. In other words so overly marketed and hyped that it becomes annoying.
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