Posted on August 16, 2010 by Jennifer Pointer


Twitter is a fascinating site.  People tend to either love it or hate it.  Well over 100M people either love it, or at least are curious about it enough to sign up to see what the fuss is all about.  Up until now, it's been a good way to keep up with news in real time, but it has not been very competitive in the "networking" part of social networking.  That has now changed.


Taking a clue from sites like Facebook and Linked-IN which display mutual contacts among users, Twitter is now showing which followers users have in common ("Who to follow"), as well as Twitter users you may know based on mutual contacts ("You both follow').  Here's how it works.


Today, I signed on to Twitter, and in the right sidebar, I saw this:


Who to follow

As it happens, I know who Chera Kimiko is (she's a local news anchor that I like), and although I did not know who Leah Harper is, I checked out her profile, and found she's affiliated with Tulsa Community College, where I earned an A.A. many years ago, so I followed both of them.  (Not surprisingly, when I returned to my home page some time later, I had a suggestion to follow Tulsa Community College, which I did.) 


When I visited Chera's profile page, Twitter showed me (at the top, right under her name and photo), links to 13 mutual contacts ("Also followed by"), and in her right sidebar, a list called "You both follow," which if clicked, shows a list of people we both follow.


I love this new feature.  Up until now, it has been quite difficult to find relevant contacts on Twitter.  I usually found mine by following people whose Tweets I liked in other feeds, such as hashtags, groups or lists.  This is much easier, less time-consuming, more intuitive, and makes more sense.


Aso see TechCrunch: Twitter's Social Graph is About to get Pumped Up. 'Who to Follow' is Social Steroids. and Mashable: Twitter Rolling out 'You Both Follow' Feature



Jennifer Pointer


Jennifer Pointer (e-mail) is in Tulsa, OK. She promotes a simple, a low-tech approach to effective online profile management, search engine optimization and social networking.

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