NDLI: A model-free scheme for meme ranking in social media

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A model-free scheme for meme ranking in social media

Content Provider	Scilit
Author	He, Saike Zheng, Xiaolong Zeng, Daniel
Copyright Year	2016
Description	Journal: Decision Support Systems The prevalence of social media has greatly catalyzed the dissemination and proliferation of online memes (e.g., ideas, topics, melodies, tags, etc.). 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.
Related Links	https://core.ac.uk/download/pdf/82806855.pdf https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4725602/pdf
ISSN	01679236
DOI	10.1016/j.dss.2015.10.002
Journal	Decision Support Systems
Volume Number	81
Language	English
Publisher	Elsevier BV
Publisher Date	2016-01-01
Access Restriction	Open
Subject Keyword	Journal: Decision Support Systems Cybernetical Science Meme Ranking Model-free Scheme Transfer Entropy
Content Type	Text
Resource Type	Article
Subject	Arts and Humanities Information Systems and Management Developmental and Educational Psychology Management Information Systems Information Systems

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