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Predicting retweeting behavior based on autoregressive moving average model
文献类型:会议
作者:Luo, Zhilin[1]  Wang, Yue[2]  Wu, Xintao[3]  
机构:[1]Northwestern Polytechnic University, China |University of North Carolina, Charlotte, NC, United States
[2]University of North Carolina, Charlotte, NC, United States
[3]University of North Carolina, Charlotte, NC, United States
年:2012
通讯作者:Luo, Z.(zluo5@uncc.edu)
会议名称:13th International Conference on Web Information Systems Engineering, WISE 2012
页码范围:777-782
会议地点:Paphos, Cyprus
会议开始日期:2012-11-28
会议结束日期:2012-11-30
收录情况:EI(20124815709454)  
人气指数:625
浏览次数:612
语言:外文
摘要:
In this paper, we consider a fundamental social network issue that illustrates how information dynamically flows through a social media network. Inferring the number of times that a particular message posted by some specific user will be retweeted by his followers and predicting the number of readings of the posted message via various retweeting chains are central to understanding the underlying mechanism of the retweeting behaviors. Specifically we work on the Task 2 of the WISE 2012 Challenge, ...More
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