title: Gravity effects on information filtering and network evolving.
abstract: In this paper, based on the gravity principle of classical physics, we propose a tunable gravity-based model, which considers tag usage pattern to weigh both the mass and distance of network nodes. We then apply this model in solving the problems of information filtering and network evolving. Experimental results on two real-world data sets, Del.icio.us and MovieLens, show that it can not only enhance the algorithmic performance, but can also better characterize the properties of real networks. This work may shed some light on the in-depth understanding of the effect of gravity model.
authors.affiliation: Web Sciences Center, University of Electronic Science and Technology of China, Chengdu, People's Republic of China; Institute of Information Economy, Hangzhou Normal University, Hangzhou, People's Republic of China; Alibaba Research Center for Complexity Sciences, Hangzhou Normal University, Hangzhou, People's Republic of China.
authors.forename: Jin-Hu
authors.initials: JH
authors.lastname: Liu
authors.affiliation: Institute of Information Economy, Hangzhou Normal University, Hangzhou, People's Republic of China; Alibaba Research Center for Complexity Sciences, Hangzhou Normal University, Hangzhou, People's Republic of China.
authors.forename: Zi-Ke
authors.initials: ZK
authors.lastname: Zhang
authors.affiliation: Web Sciences Center, University of Electronic Science and Technology of China, Chengdu, People's Republic of China; Institute of Information Economy, Hangzhou Normal University, Hangzhou, People's Republic of China; Alibaba Research Center for Complexity Sciences, Hangzhou Normal University, Hangzhou, People's Republic of China.
authors.forename: Lingjiao
authors.initials: L
authors.lastname: Chen
authors.affiliation: Institute of Information Economy, Hangzhou Normal University, Hangzhou, People's Republic of China; Alibaba Research Center for Complexity Sciences, Hangzhou Normal University, Hangzhou, People's Republic of China.
authors.forename: Chuang
authors.initials: C
authors.lastname: Liu
authors.affiliation: Web Sciences Center, University of Electronic Science and Technology of China, Chengdu, People's Republic of China.
authors.forename: Chengcheng
authors.initials: C
authors.lastname: Yang
authors.affiliation: Division of Translational Medicine, Shanghai Changzheng Hospital, Second Military Medical University, Shanghai, People's Republic of China.
authors.forename: Xueqi
authors.initials: X
authors.lastname: Wang
mesh_terms: D000465:Algorithms; D006112:Gravitation; D008962:Models, Theoretical