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Twitter Has a Long TailThe blognation Global River of News My friend Bruno writes the blog Twitter Facts, where he gathers, analyzes and shares data related to every geeks favorite micro-blogging service. In his last post, he tries to find out if The Long Tail principle also applies to Twitter usage. The Long Tail, in case you're not familiar with the concept, was coined by Wired [...]
Author: Robin Wauters
My friend Bruno writes the blog Twitter Facts, where he gathers, analyzes and shares data related to every geeks favorite micro-blogging service. In his last post, he tries to find out if The Long Tail principle also applies to Twitter usage.
The Long Tail, in case you're not familiar with the concept, was coined by Wired editor Chris Anderson in October 2004 and describes a distribution model where a high-frequency or high-amplitude population is followed by a low-frequency or low-amplitude population which gradually "tails off." In many cases the infrequent or low-amplitude events can make up the majority of the graph.
Bruno came up with a top 500 list of Twitter users and then graphed up their distribution stats (number of followers, numbers of people the users is following and the number of Twitter updates made). He found a clear example of long tail, although he acknowledges that he can't be absolutely sure that his top 500 doesn't miss on out on some accounts, and he's also not sure if this is representative for the total number of Twitter users, which is well over 540 000 according to TwitDir (and growing very fast).
That said, Bruno did come up with similar patterns when focusing on geographical data points (in this case, the countries Brazil and Belgium). Here's the graph for Belgium:
I wonder if Evan and Biz are reading Twitter Facts too. Might help them locate that missing business model.
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