Proceedings of the Fourth International AAAI Conference on Weblogs and Social Media Temporal Correlation between Social Tags and Emerging Long-Term Trend Detection

Social annotation has become a popular manner for web users to manage and share their information and interests. While users ' interests vary with time, tag correlation also changes from users ' perspectives. In this work, we explore four methods for estimating temporal correlation between social tags and detect if a long term trend emerges from the history of temporal correlation between two tags. Three types of trends are specified: steadily shifting, stabilizing, and cyclic. To compare the results of the four estimation methods, an indirect evaluation is realized by applying detected trends to tag recommendation