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How is "Influence" Calculated?
How is influence measured? BTW, I love the links only view. Fantastic.
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Inappropriate?In a nutshell, it's based on calculating the standard deviation of all the users' follower counts plus some rudimentary spam detection.
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Inappropriate?Hello Tyler,
Thanks for your reply.
For this number to be useful to us, I'd like a bit better explanation.
As your customers (when you start selling the app) I imagine we are supposed to use this figure in our campaigns. So we need to know what makes it up to know if it is useful to us and/or suggest improvements or alternate ways of scoring it (this could be controlled in the preferences with intelligent defaults).
I’m concerned.
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Inappropriate?For each search, Incoming! calculates the standard deviation of the users' follower counts. Then, it ranks them based on how far above/below they are from the mean. Users greater than two standard deviations above the mean, are automatically assigned a 100% influence score.
In addition, users in a top percentile who are following at least 75% of the number of users who are following them, are classified as spammers and their score set to 0%.
To put this into more math-like terms, Incoming classifies Influencers as users where
followers > μ + σ / 2
and non-influencers where
followers < μ - σ / 4
Spammers are where
(followers > μ + σ / 4) && (following > followers * 0.75) -
Inappropriate?Hi Tyler,
Thanks for sharing the details.
That's some pretty cool math but you may be zeroing too many people.
What's the cut off point for 75% following and being zeroed?
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Inappropriate?It's just back-of-the-hand experience (and open for debate).
Someone with 300 followers who is following 20 people is worth more than someone with 3,000 followers following 2,700.
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