Description and prediction of Slashdot activity

被引:31
作者
Kaltenbrunner, Andreas [1 ]
Gomez, Vicenc [1 ]
Lopez, Vicente [1 ]
机构
[1] Univ Pompeu Fabra, Dept Tecnol, Barcelona 08003, Spain
来源
LA-WEB 2007: 5TH LATIN AMERICAN WEB CONGRESS, PROCEEDINGS | 2007年
关键词
D O I
10.1109/LA-Web.2007.21
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
We perform a statistical analysis of user's reaction time to a new discussion thread in online debates on the popular news site Slashdot. First, we show with Kolmogorov-Smirnov tests that a mixture of two log-normal distributions combined with the circadian rhythm of the community is able to explain with surprising accuracy the reaction time of comments within a discussion thread. Second, this characterization allows to predict intermediate and long-term user behavior with acceptable precision. The prediction method is based on activity-prototypes, which consist of a mixture of two log-normal distributions, and represent the average activity in a particular region of the circadian cycle.
引用
收藏
页码:57 / 66
页数:10
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