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Hang-outs could predict new online friends Tweet Share this Email Print Related News UPDATE 3-Huawei bets on the cloud, mobile phone sales soar Wed, Aug 3 2011 Special report: In Breivik's past, few clues to troubled future Tue, Aug 2 2011 Search for bodies on Norwegian island ends Thu, Jul 28 2011 Norwegian killer causes Putin potential embarrassment Tue, Jul 26 2011 China sacks 3 senior officials after train crash Mon, Jul 25 2011 Analysis & Opinion How fast is your broadband? Default and consequences Related Topics Technology » Small Business » Lifestyle » Media » A page from the Facebook website is seen in Singapore May 11, 2011. Credit: Reuters/Tan Shung Sin By Alice Baghdjian LONDON | Thu Aug 4, 2011 10:15am EDT LONDON (Reuters) - A method of predicting which individuals may become friends on social networking sites based on the places they visit out in the real world has been developed by researchers at Cambridge University in Britain. The new approach to "friend suggestions" looks at the usual haunts of individuals to determine which users may have connections with one another. This, combined with the "friend-of-a-friend" method, currently favored by social networking sites such as Facebook and LinkedIn, can increase the efficacy of the prediction system, say researchers. "We wanted to investigate the properties of places that encourage connections between visitors and how this could be incorporated into a system that predicts friends," Salvatore Scellato, one of the researchers, told Reuters. The team analyzed the creation of social connections on Gowalla, a location-based social networking site that allows users to share information about the places they visit. "We monitored the behavior of people going to places and the connections they made. We found that lots of people who go to the same places end up adding each other as friends, accounting for around 30 percent of new social links," Scellato said. Meeting places are given incremental value based on how likely they are to foster connections and interaction between people, therefore offices, gyms and schools carry more weight than football stadiums or airports. The weighting was determined according to the number people who visit the place, and the regularity of those visits -- a theory Scellato describes as "place entropy." "We considered the entropy of a place to find venues that are more likely to foster social links, such as offices and gyms, rather than train stations or museums. We discovered that two users visiting a place with low entropy, that is, a place with a handful of people who are regulars, are highly likely to develop a social connection," said Scellato. Friend prediction systems pose a large problem to social networking sites due to the vast numbers of people they deal with. Facebook has more than 750 million active users. "Our results show it's possible to improve the performance of link prediction systems on location-based services that can be employed to keep the users of social networks interested and engaged with that particular website," Scellato said. (Edited by Paul Casciato) Technology Small Business Lifestyle Media Tweet this Link this Share this Digg this Email Reprints We welcome comments that advance the story through relevant opinion, anecdotes, links and data. If you see a comment that you believe is irrelevant or inappropriate, you can flag it to our editors by using the report abuse links. Views expressed in the comments do not represent those of Reuters. For more information on our comment policy, see http://blogs.reuters.com/fulldisclosure/2010/09/27/toward-a-more-thoughtful-conversation-on-stories/ Comments (0) Be the first to comment on reuters.com. Add yours using the box above. Social Stream (What's this?) 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