Comments on: Klout’s Social-Media Influence API http://thinknook.com/klouts-social-medi-influence-api-2011-06-26/?utm_source=rss&utm_medium=rss&utm_campaign=klouts-social-medi-influence-api Because the world needs another Business Intelligence blog! Fri, 14 Sep 2018 19:30:18 +0000 hourly 1 https://wordpress.org/?v=4.1.41 By: Klout online influence scores gaining extra sway | picnicerror.net http://thinknook.com/klouts-social-medi-influence-api-2011-06-26/#comment-44 Tue, 18 Oct 2011 14:47:51 +0000 http://thinknook.com/?p=68#comment-44 […] or loses influence by staying away from social media or posting content that dies on its arse.  Links Naji provides a nice breakdown of the Klout score in his blog post about the Klout API, so I won’t cover the same details here.  The good news is that the algorithm used to […]

]]> By: Graham http://thinknook.com/klouts-social-medi-influence-api-2011-06-26/#comment-3 Tue, 28 Jun 2011 16:36:58 +0000 http://thinknook.com/?p=68#comment-3 It’s a nice little API and I especially like the classification and description of a user’s tweeting habits. While not exactly quantifiable alone, it gives a very nice categorisation of users that would be very interesting to tie back into the other stats, e.g. which categorisations tend to have a wider reach, which have the most influential network and so on.

It’s interesting to note though, that users who have connected FB/LinkedIn will have higher scores than those who haven’t, something which should be accounted for if using the scores to perform a user ranking.

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