Informatics, Balkan Conference in (2009)
Sept. 17, 2009 to Sept. 19, 2009
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/BCI.2009.12
Most approaches for mining the community structure of a graph are based on the assumption that each member of a community has more links within than outside its community. We argue that this delimitation of a community is not appropriate for graphs representing web sites; hence, we propose a more detailed delimitation for the community structure of web sites. Moreover, we propose a novel graph clustering algorithm for mining communities from web sites. Experimentation on real web sites shows that our approach compares favourably to alternative, well known, community mining algorithms.
Community mining, web community, graph clustering, web site
A. Vakali and L. Moussiades, "Mining the Community Structure of a Web Site," Informatics, Balkan Conference in(BCI), Thessaloniki, Greece, 2009, pp. 239-244.