A model-free scheme for meme ranking in social media
He, Saike1; Zheng, Xiaolong1; Zeng, Daniel1,2
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
Indexed BySCI ; SSCI
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
Citation statistics
Cited Times:4[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
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
Recommended Citation
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.
Files in This Item: Download All
File Name/Size DocType Version Access License
1-s2.0-S016792361500(629KB)期刊论文作者接受稿开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[He, Saike]'s Articles
[Zheng, Xiaolong]'s Articles
[Zeng, Daniel]'s Articles
Baidu academic
Similar articles in Baidu academic
[He, Saike]'s Articles
[Zheng, Xiaolong]'s Articles
[Zeng, Daniel]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[He, Saike]'s Articles
[Zheng, Xiaolong]'s Articles
[Zeng, Daniel]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: 1-s2.0-S0167923615001967-main.pdf
Format: Adobe PDF
All comments (0)
No comment.

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.