摘要
随着微博的迅速兴起,提取信息传播特征和构建传播模型已成为研究热点。针对用户转发行为,首先分析信息转发结构,提取信息老化特征;然后结合转发时效性,基于平均转发概率的递减规律提出SIR的改进模型;最后利用真实转发数据验证了模型的合理性。结果表明,考虑信息时效性和老化特征,能够较好地拟合信息传播过程。进一步,将利用该模型分析不同节点传播影响力,发现其分布服从无标度特征。
With the rapid development of the micro blog,extracting the characteristics of the message propagation and constructing the propagation model have already been a hot topic.Focused on users＇ reposting behavior,first we analyzed the structure of the message reposting and extracted the characteristics of information obsolescence.Then we proposed an improved SIR model based on the law of diminishing reposting probability combining the time-effectiveness of the message.At last,we made use of real reposting data to prove the validity of our model.The results show that taking the time-effectiveness and information obsolescence of message into account can fit the progress of the message propagation well.Furthermore,we took advantage of this model to analyze the scale-free property of the vertex influence distribution.
出处
《计算机科学》
CSCD
北大核心
2014年第12期82-85,共4页
Computer Science
关键词
SIR模型
转发长度
转发特征
信息老化
新浪微博
SIR model
Reposting length
Characteristics of reposting
Information obsolescence
Sina micro blog
