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With User Labor, we propose an open data structure, User Labor Markup Language (ULML), to outline the metrics of user participation in social web services. Our aim is to construct criteria and context for determining the value of user labor for distribution. We believe that universality, transparency, and accessibility of user labor metrics will ultimately lead to more sustainable service cycles in social web. ULML outlines the metrics user labor, but does not provide direction for calculating its value. Calculating the value of labor is a fairly subjective matter, and formulations may vary from service to service. In order to deal with this subjectivity in the best way possible, the metrics of user labor need to be accessible and transparent as a basis for initiating actual value discussions. >> aka: PEERS IMS needs this info to calculate value!

Metrics give insight and enables better decision making but many find it daunting. Here are basics that can help anyone trying to make sense of web analytics.

For those of you out there not fully leveraging analytic data to improve your conversions and user experience, you are missing out on half the game. Google Analytics is an amazing analytics platform that allows you to review traffic on your website. One metric in particular we suggest taking a look at is the Exit percentage for different pages throughout your website.

The average male Facebook user with 500 friends: * Leaves comments on 17 friends' photos, status updates, or wall; * Messages or chats with 10 friends. The average female Facebook user with 500 friends: * Leaves comments on 26 friends' photos, status updates, or wall; * Messages or chats with 16 friends.

We're halfway through 2011, and a lot has happened in social media. As over 1,000 Social networks fight and innovate to grab their piece of the social networking space, the first six months of the year have included new features, redesigns, acquisitions, and IPOs... But who have been the biggest winners and losers of 2011? Let's see if we can shed some light on this question through an analysis of trends among 3,238 popular blog articles that have covered social platforms this year.