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Enter a twitter name in the box to the left to determine your influence on twitter according to Filtrbox. Filtrbox scores twitter users on a 1-10 scale (10 being the highest) based on data available in the user's profile. Filtrbox's twitter influence scoring is also available in our API.

Here's a roundup of the APIs to mine Twitter data: Trstrank: The PageRank-esque algorithm we covered previouslyWordbag: A list of "most common words" for a user with a twist. Universally-common words are essentially filtered out because InfoChimps compares a user's word choice to all of Twitter.Influence: Gets the number of replies in and out for the user, along wiht the number of tweets and the age of the account. Analysis of influence is up to you.Conversation: Provides a summary of public interactions between two users. Results are a list of tweets in which the first user replied to the second.

The Klout Score is the measurement of your overall online influence.

If you create a conversationlist, the people following your tweets can get a little more context: once someone follows your list, it means that they automatically see the tweets from the people that you're sending @replies to, retweeting, or mentioning, so your tweets don't appear in a vacuum. Your followers see what the people who influence you are saying on Twitter.

Here it is, our next Web Trend Map. No Metro lines, no URLS. This time, it's the 140 most influential people on twitter, sorted by #name #handle #category #influence #activity.