Knowledge Matters™

This isn't a blog-post about explosives, although that might be interesting; rather it is a plug for the blogs of two people whose work I admire. It's no secret I am interested in network analysis and both these blogs have almost exclusive network analysis themes. The TNT bit stands for "The Network Thinker ", which is the blog of Dr Valdis Krebs - I wish I could be as creative with names. Connectedness is the blog of Dr Bruce Hoppe.

I particularly like Connectedness because of its exclusive network analysis theme. I just wish Bruce would blog a bit more. He's had a few interesting posts of late. Take a look at this post on centrality . Bruce correctly identifies centrality is important in every network; and lets be honest it's the property we are most fascinated with! I would caveat Bruce's observation by saying be careful with what type of centrality you are talking about. For example, in-degree centrality is about popularity and out-degree centrality is about activity - two very different things I suggest!

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From time to time I run a half-day seminar called “Introducing Network Analysis as a Research Technique ”, followed by a practical workshop that builds on the mornings activities and introduces participants to UCINET and NetDraw .

Here are the seminar slides . The seminar is aimed at new researchers. Typically the seminar occurs in the morning and is organised into three sessions.

Here are the workshop slides . The workshop is aimed at absolute beginners, and introduces participants to UCINET and NetDraw . It builds on the seminar, although attendance at the seminar is not a prerequisite.

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On Friday the 4th of July 2008 I am once again running a half-day seminar called “Introducing Network Analysis as a Research Technique ”. This time the seminar will be followed in the afternoon by a practical workshop that builds on the mornings activities and introduces participants to UCINET and NetDraw .

The seminar and workshop are part of Canberra University’s Inter-University Research Workshop Program , and are aimed at new researchers. The workshop is also of use to anyone interested in network analysis, but is aimed at absolute beginners. Both the seminar and workshop are offered free of charge to research students and researchers from all institutions, but priority access will be given to students and staff from participating universities. Costs may apply to other participants. If you are interested and you are in Canberra on Friday the 4th of July 2008 you can register here . Further details about the seminar and workshop are below. ...

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I purchased this book on the recommendation of a colleague. Unusually for me it has taken many months to read, and I have found it a hard slog - I simply could not maintain my interest. The content is dense and at times challenging.

The authors bring together several theories to come up with an integrative framework to research communication networks. By combining several approaches they seek to move from descriptive and exploratory techniques to inferential and confirmatory models - this was the attraction of the book for me; unfortunately in the end I wasn't completely convinced. That said I do agree that networks should be examined on multiple levels and that a multi-theoretical approach has considerable merit.

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Sometime ago I posted some commentary about this study by Doctor Nicholas Christakis and Doctor James Fowler, who used network analysis to aid understanding of obesity. Their results were published in the New England Journal of Medicine. It was an interesting study because it looked at 12,067 subjects over a 32-year period. Some of the results were truly frightening - if you have a close friend who is obese the chance of you becoming obese increases by 57%! But I digress. This time, Doctors Christakis and Fowler have used social network analysis techniques to aid understanding of the collective dynamics of smoking.

Again it is a very interesting study. Given the population is 12,067 subjects over a 32-year period it appears to be the same group used in the obesity study. A couple of findings were really interesting.

• First, smoker-clusters extend to three degrees of separation.
• Second, the size of the smoker-clusters remained the same across time, suggesting that whole groups of people quit at the same time.
• Third, smokers are found in the periphery of the total social network, suggesting smokers are increasingly being marginalized by their peers, family and co-workers. ...

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