I had introduced the concept of SU Integrity Score in The Zen Of StumbleUpon and this as a lot more to do with my prior post whether it better to have a thumb-up, a review or both. I think it’s about time to look into what determine SU Integrity Score, can a calculative interpretation be derived from information displayed about anyone or anybody SU profiles?
What information can be obtain from SU profile?
Basically from the example here (it’s actually my profile’s and all the time of writing), you can gathered few information:
- The number of favorites. In this example 993.
- The number of reviews given. From this example, 364 review.
- The number of subscribers. From this example, 80 subscribers.
- Last login date.
- How old is the profiles. When we talk about how old is the profiles, we look at the anniversary date of the profile. In my case, I’m six months old (I become a member in the last couple of days of July).
Let look further ( and a few more question)
Am I an avid stumbler or review?
From the no of stumbler and review, the indication is very clear. For every 4 pages that sent to me, 3 pages will definitely received a stumble and only 1 page will received both. This could be explain as:
No of stumble / No of review = An avid stumbler or an avid review
What is my SU frequency?
SU frequency can be determined by dividing the number of page stumbles against the SU profile age (in months) and to find a frequency by day just divide it by days, of which I think should be, in my opinion, the frequency that we should look into. In my opinion, while this model may sound so simplistic at least this will “grossly” a determinant factor of SU behavior.
SU Frequency = (Number of pages stumbles/profile age(in months))/ 30 days.
In my example that would be (993 pages/6 months)/30 days, which resulted between 5 to 6 stumble pages per day.
Let tie everything together
For every 5 to 6 pages sent to me, all will be thumb-up but only 1 0r 2 will get both thumb-up and review. My SU tool bar currently show me I have 73 pages sent to me, so what can you deduce from this model? Or I had make you more confuse and off-track?
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