基于模糊PA算法的微博信息传播分享预测研究

Research on prediction of micro-blog information dissemination based on PA algorithm

微博已经成为网民信息获取、分享的主要平台之一。对信息分享进行预测,是对微博信息传播进行监管控制的基础。微博用户和信息属性中包含着用户偏好、生理特征、内容类型等数据,基于这些数据可进行信息分享预测。分析了微博信息传播模式、分享预测理论方法,基于PA算法提出了信息分享预测模型,以新浪微博数据为例验证了预测模型。结果表明,该模型对信息分享具有较高的预测准确率。

Micro-blog has become one of the main Internet platforms for information acquireing and sharing. Prediction on information sharing is the basis for controlling and supervising information. Attributes of micro-blog users and information contain data of users＇ preferences, physiological characteristics, content type. etc. Based on these data can predict information sharing. This paper analyzed modes of micro-blog information dissemination, theory and methods for predicting information sharing, based on PA algorithm, it proposed information sharing prediction model. Through Sina micro-blog data verified the model, it shows that the model has high prediction accuracy of information sharing.