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A client recently asked me, "What type of networks do you run into in organizations?  Scale-free or Small-world?"  I did an informal browse of about 20 data sets from biz orgs and found many occurrences of a third pattern -- core-periphery!!  [C/P model as described by Borgatti & Everett] So guys, where is YOUR book?

Both S-W and C/P have similar metrics -- short path lengths and high clustering.  Big difference is one[C/P] vs. many[S-W] clusters.  A more complete investigation would be interesting... how many data sets from how many situations would be sufficient?  Sounds like a good thesis topic.


---- David Lazer <[log in to unmask]> wrote:

> (2) what networks tend to be scale free, and what networks not?  The
> interpersonal data I tend to work with I'm pretty sure tend to be normally
> distributed.  Many other kinds of networks, as Barabasi and others have
> shown, are power law distributed in in-degree.  If one were to survey
> social network data sets, and categorize them by type of distribution of
> in-degree, what would the categories be, and what would be the variables
> underlying those categories?  Has this been done?

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