Influence Maximization on Large-Scale Mobile Social Network: A Divide-and-Conquer Method

doi:10.1109/TPDS.2014.2320515

CORC > 北京大学 > 信息科学技术学院

	Influence Maximization on Large-Scale Mobile Social Network: A Divide-and-Conquer Method
	Song, Guojie ; Zhou, Xiabing ; Wang, Yu ; Xie, Kunqing
刊名	ieee transactions on parallel and distributed systems
	2015
DOI	10.1109/TPDS.2014.2320515
英文摘要	With the proliferation of mobile devices and wireless technologies, mobile social network systems are increasingly available. A mobile social network plays an essential role as the spread of information and influence in the form of 'word-of-mouth'. It is a fundamental issue to find a subset of influential individuals in a mobile social network such that targeting them initially (e.g., to adopt a new product) will maximize the spread of the influence (further adoptions of the new product). The problem of finding the most influential nodes is unfortunately NP-hard. It has been shown that a Greedy algorithm with provable approximation guarantees can give good approximation; However, it is computationally expensive, if not prohibitive, to run the greedy algorithm on a large mobile social network. In this paper, a divide-and-conquer strategy with parallel computing mechanism has been adopted. We first propose an algorithm called Community-based Greedy algorithm for mining top-K influential nodes. It encompasses two components: dividing the large-scale mobile social network into several communities by taking into account information diffusion and selecting communities to find influential nodes by a dynamic programming. Then, to further improve the performance, we parallelize the influence propagation based on communities and consider the influence propagation crossing communities. Also, we give precision analysis to show approximation guarantees of our models. Experiments on real large-scale mobile social networks show that the proposed methods are much faster than previous algorithms, meanwhile, with high accuracy. ? 1990-2012 IEEE.; SCI(E); EI; 0; ARTICLE; gjsong@pku.edu.cn; 5; 1379-1392; 26
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/328251]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Song, Guojie,Zhou, Xiabing,Wang, Yu,et al. Influence Maximization on Large-Scale Mobile Social Network: A Divide-and-Conquer Method[J]. ieee transactions on parallel and distributed systems,2015.
APA	Song, Guojie,Zhou, Xiabing,Wang, Yu,&Xie, Kunqing.(2015).Influence Maximization on Large-Scale Mobile Social Network: A Divide-and-Conquer Method.ieee transactions on parallel and distributed systems.
MLA	Song, Guojie,et al."Influence Maximization on Large-Scale Mobile Social Network: A Divide-and-Conquer Method".ieee transactions on parallel and distributed systems (2015).