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View all- Xu NLin QHu HLi Y(2022)The effect from elimination mechanism on information diffusion on entertainment programs in WeiboFrontiers in Physics10.3389/fphy.2022.103291310Online publication date: 15-Nov-2022
Capturing Dynamics of Information Diffusion in SNS: A Survey of Methodology and Techniques
Authors: 
Huacheng Li, Chunhe Xia, Tianbo Wang, Sheng Wen, Chao Chen, and Yang XiangAuthors Info & Claims
Huacheng Li, Chunhe Xia, Tianbo Wang, Sheng Wen, Chao Chen, and Yang XiangAuthors Info & ClaimsArticle No.: 22, Pages 1 - 51
Abstract
Studying information diffusion in SNS (Social Networks Service) has remarkable significance in both academia and industry. Theoretically, it boosts the development of other subjects such as statistics, sociology, and data mining. Practically, diffusion modeling provides fundamental support for many downstream applications (e.g., public opinion monitoring, rumor source identification, and viral marketing). Tremendous efforts have been devoted to this area to understand and quantify information diffusion dynamics. This survey investigates and summarizes the emerging distinguished works in diffusion modeling. We first put forward a unified information diffusion concept in terms of three components: information, user decision, and social vectors, followed by a detailed introduction of the methodologies for diffusion modeling. And then, a new taxonomy adopting hybrid philosophy (i.e., granularity and techniques) is proposed, and we made a series of comparative studies on elementary diffusion models under our taxonomy from the aspects of assumptions, methods, and pros and cons. We further summarized representative diffusion modeling in special scenarios and significant downstream tasks based on these elementary models. Finally, open issues in this field following the methodology of diffusion modeling are discussed.
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Index Terms
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Publication History
Published: 23 November 2021
Accepted: 01 September 2021
Revised: 01 July 2021
Received: 01 August 2020
Published in CSUR Volume 55, Issue 1
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View all- Xu NLin QHu HLi Y(2022)The effect from elimination mechanism on information diffusion on entertainment programs in WeiboFrontiers in Physics10.3389/fphy.2022.103291310Online publication date: 15-Nov-2022
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