Abstract
As related works had a few research on Internet Water Army in social network, specifically on the Internet Water Army who trends to lead people's opinions, obscure the real voices and change public opinions in social network. To better understand what difference lie between Internet Water Army and legitimate user, we did some work about behaviour of them from real dataset in Sina microblogging service. We adopted some machine learning algorithms to classify the type of user with collected features through the measurement. At the same time we proposed an influence model and create a new online algorithm with linear complexity to reduce the water army's influence on legitimate users greatly. Index Terms - Internet Water Army, Feature measurement, Machine learning, Influence m odel, MEIWA online algorithm
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