Research of Propagation Behavior on Tibetan Network Public Sentiment

Abstract

In the past some of the social and economic system of the study, often simplified to a single person's behavior can be described using the Poisson process stationary random process. However, since 2005, and reply by email, mail Propagations, human behavior, the actual statistics of time intervals, it was found there with the above assumptions these acts very different characteristics: a long period of silence and short-term high-frequency The outbreak, while present in these human behavior, the time interval distribution also satisfy the inverse power function of the fat tail, that is, during the occurrence of these acts can not be described by Poisson process. In order to study public sentiment of the Tibetan language network generation, transmission and disappearance of the law, it is necessary in the public sentiment research networks in the spread of the main roles. In this paper, the network user behavior patterns in Tibetan, Tibetan text of automatic segmentation, user behavior of the subject property and the main information dissemination and other aspects of behavior modeling are discussed.