Representing Complexity

From Rick Davies of Most Significant Change fame, a very thought-provoking post on the application of Dave Snowden’s Sensemaker software suite. Rick probes the notion of self-signification – especially how the categories or filters for self-signification are derived. He also discusses how to assess the validity and implications of different modes of representing very large scale content. There is also a fascinating discussion of an innovative use of social network analysis software to represent associations between different pieces of content, which started the taxonomic side of my brain twitching. Thanks to Dave for recommending this.

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