Keyword: "president" Autorithy. January 13th, 2009 · 77 Comments · General A few weeks ago, there was a flame war about Twitter authority, and I was all too eager to throw fuel on the pyre. But now that the blogosphere has calmed down a bit, I’d like to propose a ranking measure that I think might work. My apologies if it isn’t original. In fact, if you’ve seen it elsewhere, please point me to it. Let me start with the assumptions about the model: Influence(X) = Expected number of people who will read a tweet that X tweets, including all retweets of that tweet. For simplicity, we assume that, if a person reads the same message twice (because of retweets), both readings count.If X is a member of Followers(Y), then there is a 1/||Following(X)|| probability that X will read a tweet posted by Y, where Following(X) is the set of people that X follows.If X reads a tweet from Y, there’s a constant probability p that X will retweet it.
This model is obviously simplistic in all three assumptions. What do folks think? InShare. Get twitter friends and followers | twiends.com. TipTop Search Engine - coca cola. Dear user, Thank you for visiting the TipTop Insight Engine, another fine offering from the magic-creator TipTop Technologies, Inc. There is so much information out there for anyone searching (or just curious to learn more) that we never seem to have the time and energy to read it all. Some of us organize our favorite feeds and follow them on Twitter and yet others use their friends' updates on Facebook to stay current with the world.
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But not for the mere shock value that certain sensitive individuals might assume. You'll see why, in just a second.. You see, in a previous post titled, "A Quick Jaunt Into Data Mining On Twitter", I shared my observation that Twitter is completely ripe for some serious data mining. I then included a specific recipe for a cursory exploration into data mining Twitter via the combination of three 3rd party applications found through the Twitter Fan Wiki site. The three were as follows: Twitterverse, which showed a "word cloud" of the most popular phrases over the past 1, 5 and 10 hour periods.
"found 645 twitter updates from the last 2 monthsSubscribe to these results: rss" So Then, Why Are You Using Twitter? Here, This One's Really Embarrassing! Ps. Twittermaven.