A major feature of the emergence of Web 2.0 is the proliferation of dasiaconsumer-generated contentpsila (CGC) websites, often established as alternatives to corporate or dasiaofficialpsila sites. In this paper, we report on a preliminary study designed to demonstrate how techniques drawn from dasiaSocial Network Analysispsila (SNA) and artificial intelligence might be employed to develop an understanding of the influence relationships and hierarchies within these websites. Armed with this knowledge, organizations may be able to develop strategies as to how they might best co-exist and deal with relevant CGC sites. Proceedings of a meeting held 29-31 August 2009, Vancouver, Canada