Research on algorithm of extracting micro-blog´s hot topics

Because of a large number of micro-blog´s junk posts, how to instantly browse hot topics in micro-blog is faced with severe challenges. We propose a new extraction algorithm of hot topics to remove the false hot topics. The algorithm sets a group of parameters what is a determine condition. Parameters contain word frequency, users´ number, occurrence number, users´ discrete degrees, and time distribution of release or forward posts. The preliminary results show that the new algorithm can effectively extract hot topics from micro-blog and remove the false hot topics at the same time.