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I've tried to connect people listed for certain topics such as "musician" or "snowboard" into a twitter ontology of interests here:

http://twitterresearcher.wordpress.com/2012/03/16/a-net-of-words-a-high-level-ontology-for-twitter-tags/
http://twitterresearcher.wordpress.com/2012/06/08/how-to-generate-interest-based-communities-part-1/
http://twitterresearcher.wordpress.com/2012/06/12/how-to-generate-interest-based-communities-part-2/

and thought that it might have a  nice application for marketing when a company wants to know what their followers are itnerested in, without actually using some sort of text analysis on their tweets, but instead using their follower ties in this ontology.

http://twitterresearcher.wordpress.com/2012/07/26/finding-out-what-people-are-interested-in-by-using-only-structural-information/

Cheers
Thomas Plotkowiak
Researcher at the MCM Institute St. Gallen



2012/11/6 patrick doreian <[log in to unmask]>
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On 11/6/2012 8:10 AM, Joshua Introne wrote:
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Hi Derek - 

From a somewhat different angle, I've been using Palla's (2007) community evolution algorithm to perform evolutionary topic analysis in teams.  This is intended as a precursor to comparative analysis with social network dynamics.  

A version of our recently accepted CSCW publication on the approach is here:  http://www.academia.edu/2037735/Analyzing_the_Flow_of_Knowledge_in_Computer_Mediated_Teams.

Best,
Josh

Joshua Introne, Ph.D
Research Scientist
Center for Collective Intelligence
Sloan School of Management
Massachusetts Institute of Technology

message.
hi josh,
                the paper looks very interesting. but the link requires access through facebook in order to download it. i do not, and will not join, facebook for privacy reasons. there might be others like me so it would nice if you could send a link that permits real access outside facebook. printing from the link is impossible.
with best wishes
pat


-- 
patrick doreian
professor emeritus
department of sociology
2602 WWPH
university of pittsburgh
pittsburgh, PA 15260
phone: 412 648 7537
fax: 412 648 2799
website: http://patrickdoreian.com
Social Networks
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