社交网络是一个庞大的新型复杂系统,用户和信息常用作研究网络静态结构和动态传播过程的典型对象,它们的结构特点和传播规律处处体现出社会网络复杂的特点。该文利用新浪微博约三万名用户及其发信息的数据,从上述两方面进行了研究。首先基于统计,本文发现了新浪微博网络的紧密程度较弱,并实证了关注网络的关联密度是线性的。其次,通过研究单条微博的传播过程的用户影响曲线,我们发现10%的用户能影响其他的90%。第三,该文从时间和转发结构两方面对微博的传播模型进行了归纳。相关的结论能够为后续模型建立、舆情监控等提供支持。
Abstract
Online Social Networking (OSN) is a complex system, where both users and messages are fundamental objects when investigating the network topology and the disseminations of information. To study the structure features and the rules of information propagation, this paper analyzes about 30,000 users including their friendships and the most recent 200 posts. The main statistical results include: 1) SINA network is not dense and the correlation density is almost linear; 2) during the dissemination of a single post, “10-90 rule” occurs, that is to say 10% of the users can affect the other 90%; and 3) four patterns can be concluded considering both life-cycle and forwarding structure. These results may provide the basis for subsequent modeling, as well as benefition the public opinion monitoring and cyber marketing.
关键词
新浪微博 /
线性关联密度 /
关键节点 /
传播模式
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Key words
SINA micro-blog /
linear correlation /
key users /
propagation mode
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参考文献
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脚注
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基金
国家自然科学基金(71531012、71271211)；京东商城电子商务研究项目(413313012)；北京市自然科学基金(4132067)；中国人民大学品牌计划(10XNI029)
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