Data mining social networks is quite a challenge. Imagine walking on a busy street and trying to make sense of all the conversations around you at once. It is humanly impossible. Yet computer programs can handle the task. The more interesting mashups tend to be successful at capturing human activities at the perifery of our existence and present them in context.
Take Twitter, the hugely popular chattering service. The mashups that mine the data meaningfully are those that group and categorise human statements so we can make sense of them. One of the latest Twitter mashups is called Tweetmeme and it categorises the most frequently linked-to sites on Twitter.
Tweetmeme is the latest in a series of add-on Twitter websites. Roughly speaking, many of these efforts involve the separation of the general chatter from the links that people happen to mention whilst they're Twittering. Tweetmeme identifies links by their category, ie blogs, videos, images or audio and feeds these into RSS.
Tweetmeme's real value is that it gives you a great idea about what's alive in higher cyber regions.
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