The paper systematically analyzes Douban users' tagging data, collected by self-dependent software, concerning thematic resources like Internet, health and psychology by using quantitative indexes of tag type ratio, descriptive statistics and difference analysis in seven aspects respectively. The result shows that different thematic resources influences users' tagging behavior as to three aspects of language types, the trend of tagging and the source of words.