Social bookmarking services have become recently popular in the Web. Along with the rapid increase in the amount of social bookmarks, future applications could leverage this data for enhancing search in the Web. This paper investigates the possibility and potential benefits of a hybrid page ranking approach that would combine the ranking criteria of PageRank with the one based on social bookmarks in order to improve the search in the Web. We demonstrate and discuss the results of analytical study made in order to compare both popularity estimates. In addition, we propose a simple hybrid search method that combines both ranking metrics and we show some preliminary experiments using this approach. We hope that this study will shed new light on the character of data in social bookmarking systems and foster development of new, effective search applications for the Web.