On Twitter, you need to be Following approximately twice as many as are Followers of you. This makes you appear to be humble, wanting to hear from more Twitterers than are potentially paying any attention to you.
Then again, if you are Following ten times as many as are Following you, it could mean that few Twitterers value your tweets, and you are Following a lot of others so you can spam them with self-promotions and links to your ecommerce site or blog.
So we need a metric for objectively determining just what your secret motives are on Twitter.
I propose a Twitter Meta Index.
I mean: a scientifically derived numerical value that indicates what kind of Twitter member you are, based on tallies of individual Twitter behaviors documented by stats displayed in your Twitter sidebar.
That way, you could jot down the stats on the Twitterer's profile page, and quickly assess what's going on, whether you should be Following them or avoiding, possibly even Blocking, them.
My first thought for deriving a Twitter Meta Index number was: divide your Updates by the square root of your Following minus Followers. But then I had second thoughts, and postulated this formula: ratio of Updates divided by Followers, followed by adding Following to this number, and taking the square root of that.
I suggest that for now, we forget the second methodology and stick to my original calculation idea.
Twitter Meta Index = divide your Updates by the square root of your Following minus Followers.
Let's see what that looks like in real life application.
Scobleizer (remember: Robert Scoble was using an auto-Follow tool from Twitter dev)
Following 21,048
Followers 29,743
Updates 12,907
Twitter Meta Index calculation:
21,048 minus 29,743 = -8,695
(remove the negative value for calculation purposes)
square root of 8,695 = 93.24698386543128
12,907 divided by 93.24698386543128 = 9.726856166296281
Thus, Robert Scoble aka Scobleizer has a Twitter Meta Index of 9.726856166296281
whatsnext (BL Ochman)
Following 390
Followers 1,374
Updates 5,092
Twitter Meta Index calculation:
390 minus 1,374 = -984
(remove the negative value for calculation purposes)
square root of 984 = 31.368774282716245
5,092 divided by 31.368774282716245 = 162.32703114592593
Thus, BL Ochman's Twitter Meta Index is 162.32703114592593
Jason Calacanis
Following 34,323
Followers 30,286
Updates 5,048
Twitter Meta Index calculation:
34,323 minus 30,286 = 286
square root of 286 = 16.911534525287763
5,048 divided by 16.911534525287763 = 2.8382995007475964
Jason Calacanis boasts a Twitter Meta Index of 2.8382995007475964
See how easy this is? This simple calculation will open up a whole new world of Twitter savvy and enjoyment for all who faithfully and consistently use it. Now you have the esoteric key to unlocking the real essence and inner spirit of any give Twitter member.
Next post, how to evaluate a Twitter Meta Index, with the value spectrum, so you'll know what a good value vs. a bad value is.
Tools used in the making of this post:
Basic Calculator
Square Root Calculator
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