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Modeling Information Diffusion over Social Networks for Temporal Dynamic Prediction
Li, Dong1,2; Zhang, Shengping3; Sun, Xin3; Zhou, Huiyu4; Li, Sheng5; Li, Xuelong6; Li, D
作者部门光学影像学习与分析中心
2017-09-01
发表期刊IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
ISSN1041-4347
卷号29期号:9页码:1985-1997
产权排序6
摘要Modeling the process of information diffusion is a challenging problem. Although numerous attempts have been made in order to solve this problem, very few studies are actually able to simulate and predict temporal dynamics of the diffusion process. In this paper, we propose a novel information diffusion model, namely GT model, which treats the nodes of a network as intelligent and rational agents and then calculates their corresponding payoffs, given different choices to make strategic decisions. By introducing time-related payoffs based on the diffusion data, the proposed GT model can be used to predict whether or not the user's behaviors will occur in a specific time interval. The user's payoff can be divided into two parts: social payoff from the user's social contacts and preference payoff from the user's idiosyncratic preference. We here exploit the global influence of the user and the social influence between any two users to accurately calculate the social payoff. In addition, we develop a new method of presenting social influence that can fully capture the temporal dynamics of social influence. Experimental results from two different datasets, Sina Weibo and Flickr demonstrate the rationality and effectiveness of the proposed prediction method with different evaluation metrics.
文章类型Article
关键词Information Diffusion Social Network Modeling Prediction
学科领域Computer Science, Artificial Intelligence
WOS标题词Science & Technology ; Technology
DOI10.1109/TKDE.2017.2702162
收录类别SCI
关键词[WOS]INFLUENCE MAXIMIZATION
语种英语
WOS研究方向Computer Science ; Engineering
项目资助者Hong Kong Scholar Foundation of China(ALGA4131016116) ; China Postdoctoral Foundation(2016M600250) ; Major Science and Technology Foundation of Shandong Province(2015ZDXX0201B02) ; Natural Science Foundation of China(61672188 ; Natural Science Foundation of Shandong Province(ZR2016FQ13) ; UK EPSRC(EP/N508664/1 ; Royal Society-Newton Advanced Fellowship(NA160342) ; National Natural Science Foundation of China(61761130079) ; 61602128) ; EP/N011074/1)
WOS类目Computer Science, Artificial Intelligence ; Computer Science, Information Systems ; Engineering, Electrical & Electronic
WOS记录号WOS:000407433900016
引用统计
被引频次:39[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.opt.ac.cn/handle/181661/29219
专题光谱成像技术研究室
通讯作者Li, D
作者单位1.Shandong Univ, Sch Elect & Informat Engn, Weihai 264209, Peoples R China
2.Harbin Inst Technol, Harbin 150001, Heilongjiang, Peoples R China
3.Harbin Inst Technol, Sch Comp Sci & Technol, Weihai 264200, Peoples R China
4.Queens Univ Belfast, CSIT, Belfast BT7 1NN, Antrim, North Ireland
5.Harbin Inst Technol, Sch Comp Sci & Technol, Harbin 150001, Heilongjiang, Peoples R China
6.Chinese Acad Sci, Xian Inst Opt & Precis Mech, State Key Lab Transient Opt & Photon, Ctr Opt IMagery Anal & Learning OPTIMAL, Xian 710119, Shaanxi, Peoples R China
推荐引用方式
GB/T 7714
Li, Dong,Zhang, Shengping,Sun, Xin,et al. Modeling Information Diffusion over Social Networks for Temporal Dynamic Prediction[J]. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING,2017,29(9):1985-1997.
APA Li, Dong.,Zhang, Shengping.,Sun, Xin.,Zhou, Huiyu.,Li, Sheng.,...&Li, D.(2017).Modeling Information Diffusion over Social Networks for Temporal Dynamic Prediction.IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING,29(9),1985-1997.
MLA Li, Dong,et al."Modeling Information Diffusion over Social Networks for Temporal Dynamic Prediction".IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING 29.9(2017):1985-1997.
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