  Nowadays a lot of data is collected in online forums. One of the key tasks is
to determine the social structure of these online groups, for example the
identification of subgroups within a larger group. We will approach the
grouping of individual as a classification problem. The classifier will be
based on fuzzy logic. The input to the classifier will be linguistic features
and degree of relationships (among individuals). The output of the classifiers
are the groupings of individuals. We also incorporate a method that ranks the
members of the detected subgroup to identify the hierarchies in each subgroup.
Data from the HBO television show The Wire is used to analyze the efficacy and
usefulness of fuzzy logic based methods as alternative methods to classical
statistical methods usually used for these problems. The proposed methodology
could detect automatically the most influential members of each organization
The Wire with 90% accuracy.
