中文摘要：

针对当前社交网络中影响力量化多集中于用户维度,而缺乏对信息维度研究的问题,从微博信息入手,以线性加权模型为基础,提出一种结合评论数、转发数并引入转发地域分布信息的微博影响力量化模型（MIQM）。该模型综合考虑了群体对信息的关注度以及信息的扩散模式,并对影响力展开了全局和局部分析。实验结果表明,MIQM局部模型和评论率相关性达0.43,全局模型和转发数相关性达0.98,说明MIQM模型能反映单个微博的影响力,局部模型可突显关注度高的微博,全局模型能描述扩散性广的微博。

英文摘要：

Because of the lack of studies on micro-blog influence quantification,based on the linear weight,a quantitative model,named MIQM,was proposed,which was combined with number of comments,retweets,and the geographical distribution of spreading. The model considered both group＇s attention and information＇s diffusion. Impacts were analyzed locally and globally. The result showed that the correlation between MIQM local model and comments rate is 0. 43,and the correlation between MIQM global model and number of retweets is 0. 98,which means that the local model can highlight posts with high attention,and global model can find posts with wide spreading.