（1.國防科技大學計算機學院，湖南省長沙市 4100001；2.國防科技大學計算機學院，湖南省長沙410000）

摘  要  隨著信息技術的發展，互聯網數據以及電子數據急劇增長。微博作為一種新型的社會媒介，近幾年得到迅速發展，微博為影響力的研究提供了新的傳播平臺。微博用戶數量急劇增長，微博用戶的興趣演化快，話題演化速度快，因此亟需能在海量，異變的信息數據中，迅速分析、研判話題趨勢的方法。本文通過分析意見領袖在話題層次上的時間序列與話題的時間序列的關系，發現了它們之間的相關性，從而預測話題時序模式的變化規律。
關鍵詞 微博；意見領袖；時序模式；話題；趨勢分析
中圖分類號：TP393.08     文獻標識碼：A        文章編號：

                                    Research Microblogging Opinion Leaders Influence

                                                        and Topics Timing Mode

                                                 WANG Tao1  WANG Zhong Zhen2
　�。�1.National University of Defense Technology，Changsha 410000，china. WANG Tao，631570216@qq.com
　　2.National University of Defense Technology，Changsha 410000，china. WANG Zhong Zhen，54696661@qq.com）
Abstract  With the development of information technology, the Internet data and information growth so fast . Microblogging as a new type of social media in recent years has been the rapid development . Microblogging provides a new communication platform for influential study. Because of Sharp increase in the number of users and fast evolution of the user's interest, the topic evolved fast, so we are badly in need of quickly analyze for E Byte and mutation of information data to analyzing the topic trends approach. This paper analyzes the topic level opinion leaders in the time series with the topic of the relationship and found the correlation between them in order to predict the variation of timing mode topic.
Key words  microblogs; Opinion Leaders ; time-series pattern; Topic; trend analysis

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作者簡介：
　　王濤，男，1979年9月出生，河南長葛人，國防科學技術大學計算機學院計算機科學與技術專業工程碩士。主要研究方向為大數據挖掘、微博意見領袖和輿情控制。
　　王忠振，男，1980年6月出生，北京人，國防科學技術大學計算機學院計算機科學與技術專業工程碩士。主要研究方向為大數據挖掘、微博意見領袖和輿情控制。