Social network analysis views social relationships in terms of nodes and ties. Nodes are the individual actors within the networks, and ties are the relationships between the actors. There can be many kinds of ties between the nodes. Research in a number of academic fields has shown that social networks operate on many levels, from families up to the level of nations, and play a critical role in determining the way problems are solved, organizations are run, and the degree to which individuals succeed in achieving their goals.
Diffusion of innovations theory explores social networks and their role in influencing the spread of new ideas and practices. Change agents and opinion leaders often play major roles in spurring the adoption of innovations, although factors inherent to the innovations also play a role.
But besides all this wiki stuff, now we can also do network regressions which seems a lot better than all the previous measures (Betweeness, Centrality etc.) that resemble more with descriptive statistics. To me that is exciting and I have to look more into it soon.
Some Resources: http://group10.sustainapedianw.org/?cat=36; http://www.insna.org/; http://www.analytictech.com/networks/; http://lrs.ed.uiuc.edu/tse-portal/analysis/social-network-analysis/
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