摘要
为了更好地掌握在线社交网络中信息传播的特征规律和用户行为,以新浪微博为代表对社交网络中的信息传播进行了较大规模的测量、统计和分析,提出了一种三角和算法用于探测用户粉丝数阈值。该算法根据散点分布的统计规律来估计使微博热度达到某一值的粉丝数的临界值,发现为使微博热度大于10,用户粉丝数应大于150。其他测量分析结果表明:新浪微博具有很强的"名人效应",用户频繁地发帖并不能引起较大的关注,热门微博的热度几乎都以激增方式增长。这些结论对网络营销和网络监管具有参考价值。
A large scale measurement and analysis of information propagation in online social networks with Sina microblog as a representative is performed to better grasp the characteristics of information propagation and users＇ behaviors in online social networks.A trigonometric sum algorithm is proposed to detect a threshold to the number of fans.The algorithm bases on the statistic law of the scatter distribution to estimate the threshold for the number of fans,and to get a given mircoblog popularity.It is found that one should have at least 150 fans to make microblog popularity more than 10.Other analytical results show that： the Sina microblog possesses a strong ＂celebrity effect＂,and users＇ frequent posting fails to arouse much attention.Most hot messages gain their popularity through surge-increase.Conclusions obtained from analyzing will be good references for network marketing and network supervision.
出处
《西安交通大学学报》
EI
CAS
CSCD
北大核心
2013年第2期124-130,共7页
Journal of Xi'an Jiaotong University
基金
国家科技支撑计划资助项目(2011BAK08B05-02)
国家科技重大专项基金资助项目(2012ZX03005001)
国家自然科学基金资助项目(61170292
60970104)
国家"973计划"资助项目(2012CB315803)
关键词
在线社交网络
信息传播
微博热度
新浪微博
online social networks
information propagation
popularity of microblog
Sina microblog
