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	Predicting Information Diffusion in Social Networks with Users' Social Roles and Topic Interests
	Ren, Xiaoxuan ; Zhang, Yan
	2016
关键词	Information diffusion Social role Retweeting prediction
英文摘要	In this paper, we propose an approach, Role and Topic aware Independent Cascade (RTIC), to uncover information diffusion in social networks, which extracts the opinion leaders and structural hole spanners and analyze the users' interests on specific topics. Results conducted on three real datasets show that our approach achieves substantial improvement with only limited features compared with previous methods.; CPCI-S(ISTP); renxiaoxuan@pku.edu.cn; zhy.cis@pku.edu.cn; 349-355; 9994
语种	英语
出处	12th Asia-Information-Retrieval-Societies Conference (AIRS)
DOI标识	10.1007/978-3-319-48051-0_30
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/459977]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Ren, Xiaoxuan,Zhang, Yan. Predicting Information Diffusion in Social Networks with Users' Social Roles and Topic Interests. 2016-01-01.

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