The Twitter blog has posted an article about some new enhancements to help users find other people to follow based on topic or themed groups. They have always used some level of suggestions when users sign up for the first time and with the amount of data and activity now going through Twitter, you would imagine that they can now continually improve the relevancy of these lists.

Twitter says that they have "a number of algorithms to identify users across a variety of clusters who tweet actively and are engaged with their audiences. These new algorithms help us group these active users into lists of users by interests. Rather than suggesting a random set of 20 users for a new user to follow, now we let users browse into the areas they are interested in and choose who they want to follow from these lists."

The blog post also says that these lists will be refreshed frequently as the algorithms identify new users who should be suggested in these lists and some that are not as engaging to new users will be removed. Many tend to be A-list users who are highly active and followed, but this isn't a bad thing for new users to see how this micro-blogging service is being used.