Learning to Predict Links by Integrating Structure and Interaction Information in Microblogs

doi:10.1007/s11390-015-1563-9

	Learning to Predict Links by Integrating Structure and Interaction Information in Microblogs
	Jia, Yan-Tao; Wang, Yuan-Zhuo; Cheng, Xue-Qi
	2015-07-01
发表期刊	JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY
ISSN	1000-9000
卷号	30 期号:4 页码:829-842
摘要	Link prediction in microblogs by using unsupervised methods has been studied extensively in recent years, which aims to find an appropriate similarity measure between users in the network. However, the measures used by existing work lack a simple way to incorporate the structure of the network and the interactions between users. This leads to the gap between the predictive result and the ground truth value. For example, the F1-measure created by the best method is around 0.2. In this work, we firstly discover the gap and prove its existence. To narrow this gap, we define the retweeting similarity to measure the interactions between users in Twitter, and propose a structural-interaction based matrix factorization model for following-link prediction. Experiments based on the real-world Twitter data show that our model outperforms state-of-the-art methods.
关键词	link prediction microblog structure-interaction retweeting similarity matrix factorization
DOI	10.1007/s11390-015-1563-9
收录类别	SCI
语种	英语
资助项目	National Basic Research 973 Program of China[2013CB329602] ; National Basic Research 973 Program of China[2014CB340405] ; National Natural Science Foundation of China[61173008] ; National Natural Science Foundation of China[61232010] ; National Natural Science Foundation of China[60933005] ; National Natural Science Foundation of China[61402442] ; National Natural Science Foundation of China[61402022] ; National Natural Science Foundation of China[61303244] ; Beijing Nova Program[Z121101002512063] ; Natural Science Foundation of Beijing[4154086]
WOS研究方向	Computer Science
WOS类目	Computer Science, Hardware & Architecture ; Computer Science, Software Engineering
WOS记录号	WOS:000357679400012
出版者	SCIENCE PRESS
引用统计	被引频次：5[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/9558
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Jia, Yan-Tao
作者单位	Chinese Acad Sci, Inst Comp Technol, Key Lab Network Sci & Technol, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Jia, Yan-Tao,Wang, Yuan-Zhuo,Cheng, Xue-Qi. Learning to Predict Links by Integrating Structure and Interaction Information in Microblogs[J]. JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY,2015,30(4):829-842.
APA	Jia, Yan-Tao,Wang, Yuan-Zhuo,&Cheng, Xue-Qi.(2015).Learning to Predict Links by Integrating Structure and Interaction Information in Microblogs.JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY,30(4),829-842.
MLA	Jia, Yan-Tao,et al."Learning to Predict Links by Integrating Structure and Interaction Information in Microblogs".JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY 30.4(2015):829-842.