Hello All,

Can you point me to research, or have ideas about metrics of user performance? I know edit count, and total bytes have their limitations. Right now I am counting the occurrences of "thank" "appreciate" and "barnstar"  for a User in User talk namespace (and recursive subpages). What else is there?

Let me explain more about my current project

I am trying to develop some new techniques to measure user and article performance. I am repurposing the bi-partite economics trade model of countries-products, but instead using editors-articles. This means that I arrive at a new metric for users, and articles. Now I am calibrating some of the variables in this model, by comparing my results to exogenous variable. On pages, I use the metric that this listed pointed me to last time, like the actionable metrics from Group lens, and cleanup tags from Stein. (Thank list!). When I rank articles in a category using my economics method, versus the article-text methods I acheive .7 spearman correlation. Using my count-thanks-on-user-talk method for users in the user domain I acheive .50 spearman ranking correlation, which is still quite good, but I want to make sure there aren't better baselines to which to compare.