In this paper, the authors provide a useful tool to the web site owner for enhancing her/his marketing strategies and rise as consequence the click rates on her/his web site. Their approach addresses the following research questions: which users are important for the web community? Which users have similar interests? How similar are the interests of the users of the web community? How is this specific community structured? They present a framework for building and analyzing weighted similarity graphs, e.g., for a social web community. For that, they provide measurements for user equality and user similarity. Furthermore, they introduce different graph types for analyzing profiles of web community users.