Using Topic Analysis to Compute Identity Group Attributes
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.
KeywordsSocial Network Analysis Identity Group Latent Dirichlet Allocation Individual Document Latent Dirichlet Allocation Model
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