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If you have access to the papers and can do analysis on the content of
same, then you can use author-topic models (see
http://www.ics.uci.edu/~michal/KDD/ATM.htm, e.g.) to inform some
disambiguation. I'm not aware of any content-blind way of doing this.
Joshua
On Fri, Mar 25, 2011 at 10:43 AM, kamal badar <[log in to unmask]> wrote:
> ***** To join INSNA, visit http://www.insna.org *****
> Dear All,
> I'm doing research on co-authorship networks.The data from ISI Wos is loaded
> in Network workbench (NWB team, 2006) and co-authorship network is
> extracted. Currently I'm facing problems regarding the cleaning of
> co-authorship data for author name disambiguation (i.e. problems
> of homonymy and synonymy) (Guns, Liu & Mahbuba, 2011). I'm looking for some
> online guide/suggestions an/or software as to "HOW" to do it? Is there a
> quick way to clean the data or we have to do that manually?
> Regards
> Kamal Badar
> Doctoral candidate
> AIT
> Thailand
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--
joshua.omadadhain@gmail.com...................www.ics.uci.edu/~jmadden
Joshua O'Madadhain: Information Scientist, Musician, Philosopher-At-Tall
It's that moment of dawning comprehension that I live for. -- Bill Watterson
My opinions are too rational and insightful to be those of any organization.
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