CONSTRUCTING SEMANTIC CLUSTERS OF THE HYPERTEXT STRUCTURE ON THE BASIS OF THE STATISTICS OF USER TRANSITIONS BETWEEN HYPERLINKS
Various modern approaches to data analysis and processing in Web are using clustering of web documents by different attributes, including their semantic similarity. In this paper, we present an approach to semantic clusters construction in hypertext structure, based on information about hyperlinks between documents and statistics of user transitions between them. BorderFlow method is used for clustering weighted graph of hypertext structure, which weights are defined from collected statistics of user transitions.