Can we find patterns in large networked groups?
Roland Piquepaille has a column in his Technology Trends blog on Detecting Patterns in Complex Social Networks which talks about new ways of “uncovering patterns in complicated networks”. (Note: blog now discontinued.)
Anytime I have done significant visualizations it becomes clear that we need types of MVA to help simplify. The simweb project John Bradley and I did used Correspondance Analysis to reduce the n dimensional space to dimensions that captured most of the variation and which therefore could be graphed and understood. Hmmm… I wonder what statistical techniques (and I assume that it is forms of MVA) are used?
This could have an interesting application for TAPoR if we get a large community.