University of Texas
Classification of nodes in a social network and its applications to security informatics have been extensively studied in the past. However, previous paper generally does not consider the types of links (e.g., whether a person is friend or a close friend) that connect social networks members for classification purposes. Here, the authors propose modified naive bayes classification schemes to make use of the link type information in classification tasks. Basically, they suggest two new bayesian classification methods that extend a traditional relational naive bayes classifier, namely, the Link Type relational bayes classifier and the weighted link type bayes classifier.