A model-free scheme for meme ranking in social media
He, Saike1; Zheng, Xiaolong1; Zeng, Daniel1,2
Source PublicationDECISION SUPPORT SYSTEMS
2016
Volume81Pages:1-11
SubtypeArticle
AbstractThe prevalence of social media has greatly catalyzed the dissemination and proliferation of online memes (e.g., ideas, topics, melodies, and tags). However, this information abundance is exceeding the capability of online users to consume it. Ranking memes based on their popularities could promote online advertisement and content distribution. Despite such importance, few existing work can solve this problem well. They are either daunted by unpractical assumptions or incapability of characterizing dynamic information. As such, in this paper, we elaborate a model-free scheme to rank online memes in the context of social media. This scheme is capable to characterize the nonlinear interactions of online users, which mark the process of meme diffusion. Empirical studies on two large-scale, real-world datasets (one in English and one in Chinese) demonstrate the effectiveness and robustness of the proposed scheme. In addition, due to its fine-grained modeling of user dynamics, this ranking scheme can also be utilized to explain meme popularity through the lens of social influence. (C) 2015 The Authors. Published by Elsevier B.V.
KeywordMeme Ranking Model-free Scheme Transfer Entropy
WOS HeadingsScience & Technology ; Technology
DOI10.1016/j.dss.2015.10.002
WOS KeywordDIFFUSION ; CONTAGION ; NETWORKS
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Indexed BySCI ; SSCI
Language英语
Funding OrganizationNational Natural Science Foundation of China(71402177 ; National Institutes of Health (NIH) of USA(1R01DA037378-01) ; Ministry of Health(2013ZX10004218) ; 71472175 ; 71103180)
WOS Research AreaComputer Science ; Operations Research & Management Science
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Information Systems ; Operations Research & Management Science
WOS IDWOS:000369203200001
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Cited Times:4[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/10773
Collection复杂系统管理与控制国家重点实验室_互联网大数据与信息安全
Corresponding AuthorZheng, Xiaolong
Affiliation1.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
2.Univ Arizona, Dept Management Informat Syst, Tucson, AZ 85721 USA
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GB/T 7714
He, Saike,Zheng, Xiaolong,Zeng, Daniel. A model-free scheme for meme ranking in social media[J]. DECISION SUPPORT SYSTEMS,2016,81:1-11.
APA He, Saike,Zheng, Xiaolong,&Zeng, Daniel.(2016).A model-free scheme for meme ranking in social media.DECISION SUPPORT SYSTEMS,81,1-11.
MLA He, Saike,et al."A model-free scheme for meme ranking in social media".DECISION SUPPORT SYSTEMS 81(2016):1-11.
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