Abstract—We present a description of an enterprise expert search system which is based on the analysis of content and communications topology in an enterprise information space. As data sources we use the collections introduced at the Text Retrieval Conference (TREC) in 2006 and 2007. An optimal set of weighting coefficients for three query-candidate associating algorithms is selected for achieving the best search efficiency on a specified corpus. The obtained performance proved to be better than at most TREC participants.