From Jodee's presentation, Kred is made up of two major metrics - Influence and Outreach. The definitions of these metrics are:
- Influence is the "ability to inspire action" and the measure of action is based on other people retweeting, responding (@ messaging), liking and following you.
- Outreach is the "generosity that you give in responding to others" in the same areas of measure (retweets, responses and other acts of social kindness).
The Global Influence Score is then applied to the entire listing of the Kred database and everyone is ranked from 1 to 1000. Thus, people's Influence Kred overall is measured against everyone else.
In the Kred Community space, the population of each Kred Community is defined primarily by what their bio says - in particular, what titles, what words are used and so on. There are currently 200 Kred Communities and will grow. But in the case of Influence, all members of the particular Kred Community will be measured against each other and then ranked with a normalized score (from 1 to 1000). In addition, the Kred Community is also ranked as an entity unto itself - allowing for the KC to have its own Influence and Outreach Scores, in comparison to the other KCs.
Outreach is not a normalized score, rather it is an accumulation of actions that a person does to share in the contribution of social interactions. Right now, the scores are in the naughty digits (03, 04, 08) but should grow with each act of social kindness a person shares (oh, I look forward to seeing how @jetblue fares here).
From Jodee's conversion, we can take away that:
- Right now, only providing twitter from their past data - in the coming month, will support Facebook and LinkedIn.
- Next will be how to add blogs to the mix and how to map the bloggers to their twitter account.
- People can generate "offline Kred" by submitting documentation to actions or credibility that can be confirmed in some fashion (e.g. a Presidency gives a person +1000 Kred points)
- At present, Kred does not rely on the twitter favoriting feature for affecting the Kred score
I, for one, welcome their entry into the play. They offer a different take on the model and seem to have a lot more visible data that they can show people such that others can understand why they have the Kred they have.
If you wish to see the raw footage from this event, feel free to catch up at http://bit.ly/kredatpivot.
[Published on behalf of CenterNetworks]