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Automatically clustering social tags into semantic communities would greatly boost the ability of Web services search engines to retrieve the most relevant ones at the same time improve the accuracy of tag-based service recommendation. In this paper, we first investigate the different collaborative intention between co-occurring tags in Seekda as well as their dynamical aspects. Inspired by the relationships between co-occurring tags, we designed the social tag network. By analyzing thedoi:10.12785/amis/070235 fatcat:25em2aab2zhvzkvdulgox5jbui