【摘要】 针对多数研究仅将社会化媒体作为数据来源的现状,深入分析社会化媒体特点,重点将节点属性分为静态和动态进行研究,提出基于预测目标的节点影响力的概念.在此基础上提出了一种基于节点属性进行信息预测的属性、节点数、倾向(ANV)模型.实验采用后向传播(BP)神经网络预测方法,通过新浪微博数据预测电影票房.仿真表明,带有节点属性的方法比没有节点属性的方法拟合和预测更为准确.更多还原

【Abstract】 The features of social media,such as node influence are important in information prediction.A new model with attribute,number and views of nodes(ANV) is proposed for event prediction.Experiment is designed to predict the performance of new released movies using back propagation(BP) neural network algorithm with the data of Sina Microblog.Compared to other models,when considering the node attribution,the proposed has higher prediction accuracy.更多还原