Web video topics discovery and structuralization with social network

doi:10.1016/j.neucom.2014.10.103

	Web video topics discovery and structuralization with social network
	Cao, Juan 1; Zhang, Yongdong 1; Ji, Rongrong 2; Xie, Fei 3; Su, Yu 3
	2016-01-08
发表期刊	NEUROCOMPUTING
ISSN	0925-2312
卷号	172 页码:53-63
摘要	The prevailing of Web 2.0 techniques has led to the boom of web video content as well as its social network. To overcome the information overload problem, effective web video topic discovery and structuring techniques are highly demanded. To this end, existing works go to two respective directions: video topic discovery based on content or community detection in social network, with limited interplay between topics and network structures. In this paper, we construct the video social network based on web user interactions over videos. By comparing the topics and communities discovered on this network, we unveil the loose correspondence relationship between content and social network, and correspondingly propose a novel community-driven web video topic discovery model, which regularizes the topic model in relaxed community-level. Quantitatively analysis on real-world YouTube data shows that our model has achieved a significant improvement over the purely content-based or network-based baselines. Meanwhile, we propose a community-based topic structuralization framework, which decomposes a topic in social network space, and tracks the spreading trajectory of this topic among different communities on the time line. This structuralization can help users to catch the important facets of topics, such as "Who is interested with this topic" and "How does it propagate among the communities", which provide valuable insights in related applications such as web monitoring and market development. (C) 2015 Published by Elsevier B.V.
关键词	Topic discovery Topic structuring Social network Community Web video analysis
DOI	10.1016/j.neucom.2014.10.103
收录类别	SCI
语种	英语
资助项目	National High Technology Research and Development Program of China[2014AA015202] ; National Nature Science Foundation of China[61172153] ; National Nature Science Foundation of China[61100087] ; National Key Technology Research and Development Program of China[2012BA-H39B02] ; Beijing New Star Project on Science Technology[2007B071]
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence
WOS记录号	WOS:000364884700008
出版者	ELSEVIER SCIENCE BV
引用统计	被引频次：17[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/2XEOYT63/9135
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Cao, Juan
作者单位	1.Chinese Acad Sci, Inst Comp Technol, Beijing, Peoples R China 2.Xiamen Univ, Sch Informat Sci & Engn, Dept Cognit Sci, Xiamen, Peoples R China 3.XinHua News Agcy, Commun & Tech Bur, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Cao, Juan,Zhang, Yongdong,Ji, Rongrong,et al. Web video topics discovery and structuralization with social network[J]. NEUROCOMPUTING,2016,172:53-63.
APA	Cao, Juan,Zhang, Yongdong,Ji, Rongrong,Xie, Fei,&Su, Yu.(2016).Web video topics discovery and structuralization with social network.NEUROCOMPUTING,172,53-63.
MLA	Cao, Juan,et al."Web video topics discovery and structuralization with social network".NEUROCOMPUTING 172(2016):53-63.