Forum Moderators: Robert Charlton & goodroi
TR(t) =-W*exp(kt) + W
This function rises significantly towards the end and is very flat for a long time.
This causes a flat classification that passes easily from the place 8 to 17 for example ...
While in the growing once it reached position 5 will lose many points and down!
Fundamentally, TR does not (necessarily) vary with time. I could stop there, but...
While RANKING (not TR) might vary with time, you cannot easily translate any given variable score into any rank, due to the amount of unknowns. The pertinant unknowns here are:
1) The other 200-400 variables establishing a rank
2) The TR of competing sites
Chosing TR as the variable controlling the Yo-Yo is arbitrary at best. In fact, I would say it could be categorically ruled out.
In any case, the Yo-Yo only seems to affect 2-4 sites in a given keyword SERPs. If the Yo-Yo was controlled by a (relatively) simple function, all sites should be bouncing around in a chaotic but deterministic way. This applies to whatever variable you posit to control the Yo-Yo.
Finally, and forgive my rusty calculus, but your final equation can be rearranged to
TR(t)= W[1-e(kt)]
The striking feature of which is that Trust Rank is defined entirely by some product of the keword value. Defining any attribute of a site in terms of a keyword it competes for is nonsensical.
The other interpretation is you meant to write
TR(t) =-W^(kt) + W
"exp" becomes "^" and reads "to the power"
In which case trust (or indeed any subject variable) becomes negative very quickly, or the constant is negative (TR defined almost entirely by KW value), or between 0 and 1, in which case TR suddenly become negative once t>1/k
[edited by: Shaddows at 10:02 am (utc) on June 12, 2009]