2008 | OriginalPaper | Chapter
Using Topic Analysis to Compute Identity Group Attributes
Published in:
Social Computing, Behavioral Modeling, and Prediction
Preliminary experiments are described on modeling social group phenomena that appear to address limitations of social network analysis. Attributes that describe groups independently of any specific members are derived from publication data in a field of science. These attributes appear to explain observed phenomena of group effects on individual behavior without the need for the individual to have a network relationship to any member of the group. The implications of theseresults are discussed.