This talk presents work to visualize information exchange between small
groups of people with and around computational interfaces, and in
particular involving tangible or physical interfaces. There are a
number of formulations about small group interactions on the Internet,
including Metcalfe's law which suggests that the value of a
communications network grows with the square of the number of devices
or people it connects, a scaling law, along with Moore's Law, widely
credited for explaining the growth of Internet connectivity. Reed
suggestion that group forming networks creates increasing returns as
scale increases. I suggest that the networks of information exchange
between compuational and social networks can also be similarly
approximated. I will show some empirical results of this and then
suggest how considerations of structures of participation can effect
the design of distributed data collection, with a view to structuring
and exploiting distributed interpretation.
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