Colabria Action Research sponsors and recommends VisualComplexity.com.
Colabria also recommends, “Visual Complexity: Mapping Patterns of Information” by Manuel Lima. You are encouraged to subscribe to the ‘Latest Projects’ RSS feed.
Here is some background from the Visual Complexity Website About page —
VisualComplexity.com intends to be a unified resource space for anyone interested in the visualization of complex networks. The project’s main goal is to leverage a critical understanding of different visualization methods, across a series of disciplines, as diverse as Biology, Social Networks or the World Wide Web. I truly hope this space can inspire, motivate and enlighten any person doing research on this field.
– Manual Lima,
One of Colabria’s early concerns of Visual Complexity is that most projects are not complex. Many do not have the unique and important properties of complexity. Visual Complexity acknowledges this concern and addresses it specifically, to wit,
Not all projects shown here are genuine complex networks, in the sense that they aren’t necessarily at the edge of chaos, or show an irregular and systematic degree of connectivity. However, the projects that apparently skip this class were chosen for two important reasons. They either provide advancement in terms of visual depiction techniques/methods or show conceptual uniqueness and originality in the choice of a subject.
– Manual Lima,
This is a satisfactory claim. Visual Complexity is an outstanding initiative and resource. BTW, it is a great exercise to review the Visual Complexity projects in your domain and try to determine which are complex networks. There are over 700 projects and growing!
Knowledge Networks are the largest project domain at Visual Complexity, of course. Social Networks are growing fast. They are highly germane to your Colabria Action Research Networks and knowledge management.