How do we understand the dynamics of sorting out useful ideas from the general chatter of a community? What does the productivity of a community depend on? From a theoretical perspective, models of information within networks help us to understand how information spreads and is aggregated, and that determines the speed with which individuals and organizations can act, innovate and plan their future activities. This talk will describe new mechanisms for automatically identifying communities of practice within large networks and for elucidating the spread of information within those communities. In addition, I will describe a novel methodology for information aggregation that leads to accurate predictions of uncertain events in the real world.
http://murl.microsoft.com/LectureDetails.asp?1107
Posted by souzak at October 15, 2004 02:33 PM