论坛帖子热度变化模型的研究
Variant Markov Model on BBS Posts
帖子的热度定义为总的被访问次数。在本文中，我们针对论坛某一板块内的每一个在线访问者，以他浏览帖子的次数为状态建立马科夫模型。根据最近时间段的人数波动和变化趋势推测出的活跃人数比例，结合版块内在线人数，计算出各个时刻的总的访问量。同时，考虑新帖子对旧帖子热度的冲击，加入了阻尼因子。在实验部分，我们通过大量的程序仿真，对模型参数进行调整，证明了模型的有效性。
Hotspot of a post is defined as accumulated visit count. We proposed a variant Markov model. In this model, we evaluate the number of active members is evaluated and take into consideration the impairment of new posts to old posts. With extensive algorithm simulations, we compare our model with real world data and prove the accuracy of our model.
姜哲、袁平波、俞能海、疏晓葵
计算技术、计算机技术
帖子热度web2.0马尔科夫过程模型拟合
Hotspotweb2.0Markov Processmodelfit
姜哲,袁平波,俞能海,疏晓葵.论坛帖子热度变化模型的研究[EB/OL].(2009-12-09)[2025-08-02].http://www.paper.edu.cn/releasepaper/content/200912-249.点此复制
评论