Knowledge Matters

Understanding knowledge relationships

Organising KnowledgeIf I follow the writing principle of bottom line and idea first then I would have to say Patrick Lambe’s “Organising Knowledge: Taxonomies, Knowledge and Organisational Effectiveness” is a five-star publication. Using the four-point scale Study, Read, Skim, Bin as a guide to the effort that might be invested, this book definitely warrants a Study rating. So what’s so good about the book?

Well judging by my margin scribbles and underlining lots! First it is an entertaining, coherent and easy read. Patrick’s assertion that - “If taxonomies classify, describe and map knowledge domains, then taxonomy work is made up of the things we must do to achieve that outcome: listing, creating and modifying categories, standardising, mapping, representing, discovering native vocabularies and categories, negotiating common terms” (p. 11) – resonates with me and is an example of the practical flavour of the book. Similarly I found Patrick’s taxonomy forms - lists, trees, hierarchies, poly-hierarchies, matrices, facets, and system maps – to be a useful classification and a guide to why some taxonomies fail and others succeed.

Weak Links

I’ve just finished reading “Weak Links: The Universal Key to the Stability of Networks and Complex Systems” by Peter Csermely , who is a Professor of Biochemistry at the Semmelweis University of Budapest. The central theme is weak links are the determinants of system stability and diversity. Csermely defines a link “as 'weak', when its addition or removal does not change the mean value of a target measure at a statistically discernible way" (p. 83).

The book is an interesting read if only because its topic matter ranges from network complexity in physical systems, to biological systems, and finally social and cultural systems. Personally I think there are a few longbows drawn, but in fairness Csermely does clearly indicate where he is engaging in speculation. One fascinating discussion was the discourse on pink noise. Pink noise is also known as coloured noise, flicker noise, crackling noise and Barkhausen noise. Seemingly pink noise is present in systems as diverse as solar flares, traffic flows and group decision making, and has a stabilising or relaxing effect. Quoting several scientific sources he postulates that pink noise helps neural synchronisation, which is partly responsible for memory formation. To put it another way if you want to memorise something have Mozart playing in the background rather than bagpipes, because Mozart’s music has pink noise properties!

Social Network Analysis in Program EvaluationI bought “Social Network Analysis in Program Evaluation” edited by Mary Durland and Kimberly Fredericks about two years ago. At the time it cost me about $90, but I note the cost is now $27 which is far more realistic. When the book arrived in the mail I was disappointed, partly because it wasn’t quite what I expected, and partly because it’s a little thin A6 publication comprising just 101 pages. All that said it is a book I often refer to, and carry around because of its size.

The book is interesting from a practitioner’s point of view because it applies, or tries to apply, network analysis techniques to program evaluation. In this sense the book is unique. The first three chapters provide a background to social network analysis, and introduce key concepts like dyads, cliques, centrality, and balance. These explanations are accurate and succinct. The discussion in Chapter One on how network analysis techniques might be used in program evaluation is particularly interesting.

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