social+network+analysis category archives

The central point of this case study is that any significant change can only happen when the people involved trust the process. And that can only happen with effective communication.

Sunday's Palm Beach Post has a special report on an ongoing corruption scandal that includes a simple network diagram of the cast of characters.

Andrew McAfee gives a little more thought and background to how to justify social networking services, whether it is a Facebook-in-the-enterprise or blogs or something else in "The Ties that Find."

Matt Hodgson pointed to the TouchGraph Google Browser, which describes itself thusly: "The TouchGraph Google Browser reveals the network of connectivity between websites, as reported by Google's database of related sites."

So, there is another Facebook application that lets you play with your network, 6 degrees of separation, by Karl Bunyan.

Another set of LinkedIn Questions, but I don't think I am going to continue this process on a regular basis.

The speaker, Chris Fletcher, is responsible for Knowledge Management in the Asia Pacific region for the consulting practice of Deloitte.

There is a running discussion in the blogosphere on layers of a social networks and how trust or value is tied to each layer.

People have expressed plenty of paranoia about social network analysis techniques that exploit existing corporate data stores. So, it shouldn't be surprising to see reports of companies that are selling their tools to snoop on their employees.

Computerworld interviews the authors of some new research on IT and productivity. Looks like some interesting though easily misinterpreted results.

I came across "How to measure effect of communities at the macro level?" by Mukund Mohan at the same time that I've been thinking about the reasons organizations look into communities. These ideas fit together nicely.

Since Enron is in the news again, Trampoline Systems have produced an Enron Explorer that lets you sort through the emails, to see themes and people as well as the emails themselves.

David Armano has an interesting idea for mapping the dynamic behavior of linking across the blogosphere, "Influence Ripples 2.0." The drawing is beautiful, and I would love to see this animated across time.

Hai Zhuge has an article on "Discovery of Knowledge Flow in Science" in the May 2006 issue of Communications of the ACM. Zhuge focuses on the scientific citation network that is a familiar topic in academic circles, but the concept applies anywhere you can find citations, such as in blogs.

Howard Rheingold links to an interesting look at social networking services in "Unraveling the Taste Fabric of Social Networks." Short version: the authors describe a mechanism for describing people's interests as a fabric of tastes with some browsability components.