计算机科学 ›› 2016, Vol. 43 ›› Issue (12): 41-45.doi: 10.11896/j.issn.1002-137X.2016.12.007
郑志蕴,郭芳,王振飞,李钝
ZHENG Zhi-yun, GUO Fang, WANG Zhen-fei and LI Dun
摘要: 随着微博的迅速兴起和其影响力的不断提高,提取微博信息传播特征和构建传播模型已成为了研究热点。针对用户转发行为,首先分析了信息传播机制;然后从影响用户转发行为的发布用户、接收用户、用户亲密度和信息时效性4个方面提取出8个特征因素进行建模;在借鉴传染病动力学SIR模型的基础上,引入用户行为分析和接触节点,提出基于用户行为分析的SCIR模型,并给出动力学方程;最后利用新浪微博真实转发数据验证模型的合理性。实验结果表明,考虑用户转发行为的8个影响因素,结合行为分析结果,能够较好地拟合信息传播过程。
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