网络舆情事件中，微博炒作账号对炒作行为事件的传播和发展带来了巨大的不可控因素，隐匿背后的炒作群体是互联网中不可忽视的特殊群体。文章提出基于社团发现算法的微博炒作账号发现方法，通过构建博主关联网络，挖掘网络特征，对网络中的微博炒作账号进行自动发现。文章以“湖南临武瓜农死亡”事件为实验对象，基于新浪微博数据构建了该事件的博主关联网络，对该事件中的微博炒作账号进行发现和甄别，验证了本文方法的有效性。%The hyper accounts in micro-blog have a significant impact on the spread and development of the events in the Internet public opinion. The hidden behind hyper accounts are a special group which can’t be neglected. This paper proposes a hyper accounts ifnding method based on the community detecting algorithm. In this method, by constructing the bloggers association network and mining the features of the constructed network, the goal of automatically ifnding the hyper speculation accounts is achieved. By using the related micro-blogs of the Hunan Linwu Watermelon Death event as the experimental corpus, the blogger association network is constructed and the hyper accounts we detected and distinguished by using the proposed method, which proves the feasible of the presented method.
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