There is some very positive coverage of Telligent recently in the press. First there is the very detailed review of the community platform and its reporting features from Barb Mosher at CMS Wire: "Social Web Analytics with Telligent's Harvest Reporting…
I attended the Maker Faire down the hill in San Mateo at the County Fair Grounds. The event is the gathering of the many forms of craft, tinkering, building, mashup, hacking, and experimental communities. Here are some photos from today's…
[flickrset id="72157617551332795" thumbnail="square" overlay="true" size="medium"] A few weeks ago I attended a meeting at the University of Maryland in College Park of a working group proposing a new "National Initiative for Social Participation". The meeting brought together people from the…
Here is an updated version of the introduction to NodeXL slide deck. 2009 - Node XL v.84+ - Social Media Network Visualization Tools For Excel 2007 View more presentations from Marc Smith. The slides will continue to update as we…
The recent 2009 ICWSM conference featured research into the nature of a wide range of social media. [flickrset id="72157618579371124" thumbnail="square" overlay="true" size="medium"] Some highlights: An Examination of Language Use in Online Dating Profiles Meenakshi Nagarajan, Marti Hearst Event Detection and…
[Vladimir Barash is liveblogging the ICWSM conference]
10.30am A categorical model for discovering latent structure in social annotations (Said Kashoob)
Given a collection of web objects, users and tags, can we model the underlying tag generation process?
-Discover implict communities of interest?
-Categories of related tags?
-For given category, id most relevant objs for category
-compare categories
Initial thoughts: content-based topic modeling (Latent Dirichlet Allocation, LSA). Recent work applying LDA models to tags (Wu 2006, Zhou 2008)