Abstract
Research on modeling microblog posts scale was the foundation of predicting the number of microblog posts. To predict the microblog posts was beneficial to reasonably schedule load and estimate flow. Firstly, this paper explained the mathematical definition of microblog posts scale problem, compared the three microblogging characteristics random,independent and orderly with the four conditions of poisson process and established the nonhomogeneous poisson process model for microblog posts scale problem. Then, took sina microblog as experimental platform, established the model and calculated the arrival intensity function and mean function based on the measured datas of sina microblog posts. Finally,partial mathematical test was done to the model, then conducted predicting the number of sina microblog posts, which showed quite good predicting performance by comparing with the measured datas. Finally summarized the whole paper and pointed out the future work.
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Zou, H., Zhou, G., Xi, Y. (2011). Research on Modeling Microblog Posts Scale Based on Nonhomogeneous Poisson Process. In: Zhiguo, G., Luo, X., Chen, J., Wang, F.L., Lei, J. (eds) Emerging Research in Web Information Systems and Mining. WISM 2011. Communications in Computer and Information Science, vol 238. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24273-1_14
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DOI: https://doi.org/10.1007/978-3-642-24273-1_14
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