Although this may focus on the internet and its success stories by incorporating lessons learnt in computer and social sciences, I would hope it also draws heavily on work done in the past few decades in the natural sciences, given that pretty much every interesting system studied these days produces knowledge on complex networks. Web Science could be a real destination for generalists!
Social Semantic Web
Glad to see people thinking about the crossover between social networking and the semantic web. It will be interesting to see the spread of papers at the Stanford University symposium.
According to Nicholas Carr internet technology is bombarding us with so much information we are all rapidly losing our attention span. This not only forces us to speed-read everything but it prevents us from contemplating the deeper issues. One reason social network tools like Digg, Twitter etc help is because we trust others to read and filter on our behalf. However there is still so much to sift through for the knowledge nuggets.
What if we were also able to trust technology to do the reading and filtering? We are already seeing micro-blogging bots at the broadcast end. Social web browsers would also benefit from some intelligence, enabling messages to be organised and filtered on receipt. Again, perhaps the focus would be on identifying posts which are “related but novel”. Or at least routing them into personalised semantic buckets. Are there tools already out there, eg how much of this can you do with Flock? What would it take for us to build trust in personalised blog-reading bots?