新浪微博转发数的幂律分布现象

The phenomenon of power-law distribution of the number of forwards in Sina Micro-blog

网络是一个包含了大量个体及个体之间相互作用的系统,近年来在对复杂网络的研究过程中,科学家们发现了众多的幂律分布现象。不仅网页的点击次数存在幂律分布现象,微博也同样存在着幂律分布现象。利用新浪微博的API技术抓取了新浪微博数据,对其进行了详细的数据清理和统计,对统计结果进行分析发现,新浪微博的转发数也同样存在着幂律分布现象。只有为数不多的微博,才能被大量的阅读和转发,进而成为热点微博,而绝大多数微博的阅读次数和转发次数都是非常少的。

Network contains a large number of interaction between the individual and the individual system.In recent years, the scientists find a large number of power-law distribution phenomenon in the research of complex networks. The power-law distribution phenomenon exists not only in the page clicks, but also in the number of micro- blog access. In this paper, we use API technology of Sina micro-blog to capture the recent micro-blog data, make the data cleaning and statistic, by analysing the final statistical results,we find that the phenomenon of power-law distribution also exists in the number of forwards in Sina micro-blog. Only a few micro-blog, can be a hot micro-blog which has a large number of reading and forwarding,in contrast the vast majority of others have very few number of reading and forwarding.