I am very interested in the Quantified Self conference to be held in Mountain View, California, May 28 and 29. While I have attended just a few of the in-person meet-ups, which were engaging and intriguing events, I have followed the blog and tweet stream closely. These events feature short presentations about practices, prototypes, and products that record information about our own behavior and activity. It is great to hear that, as the meet-ups grew to become very large, a conference has been organized to accommodate the demand and growing interest in the intersection of sensors and other devices with medical and personal self-monitoring. Using a variety of devices, our lives can now create detailed inscriptions that illuminate our behavior and patterns with novel clarity and detail. (See: http://quantifiedself.com/conference/)
I plan to attend. I will speak on Sunday morning at a 10:30 breakout session on using social media network analysis to map personal and collective social media spaces.
Quantifying the “Quantified Self” discussion in Twitter: Here is a map of the connections among the people who recently tweeted the string “quantified self” on May 25th, 2011.
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Click for larger image.
The top most between participants in this graph were:
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Bolded users also appeared in a previous map made earlier in the year, on January 20, 2011, which looked like this:
This is the list of the most “between” users in this network on January 20th, 2011:
The most between participants in this graph are: @quantifiedself, @egadenne, @harscoat, @genomera, @neufit, @jxa, @agaricus, @emergentorder, @bulletproofexec, @2healthguru.
The topics discussed in the quantifiedself tweet stream can be rendered as a network graph based on words that co-occur:
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