Abstract: This paper shows the feature vectors that represent the users of network forum, which are associated with seven feature values. In this paper, a users clustering algorithm is designed on the basis of EM algorithm. The algorithm is used to identify the subclass that matches opinion leaders best from the data set extracted from real posts of a forum. An example is given to compare this algorithm with other algorithms, which verifies the correctness of this algorithm.

Key words: opinion leaders, clustering, online forum

摘要： 提出表示网络论坛用户的特征值向量，它由7个特征值组成。设计基于EM算法的用户聚类算法，从实际的贴子数据中提取向量数据集，并基于聚类结果筛选出最符合意见领袖群体的子类。以某论坛为例，分别运用该方法及现有典型方法提取出意见领袖并进行比较，验证本文算法的正确性。

关键词: 意见领袖, 聚类, 网络论坛

CLC Number: 

• TP311