Study on Information Diffusion Analysis in Social Networks and Its Applications

Due to the prevalence of social network services, more and more attentions are paid to explore how information diffuses and users affect each other in these networks, which has a wide range of applications, such as viral marketing, reposting prediction and social recommendation. Therefore, in this p...

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Bibliographic Details
Published inInternational journal of automation and computing Vol. 15; no. 4; pp. 377 - 401
Main Authors Chang, Biao, Xu, Tong, Liu, Qi, Chen, En-Hong
Format Journal Article
LanguageEnglish
Published Beijing Institute of Automation, Chinese Academy of Sciences 01.08.2018
Springer Nature B.V
Subjects
Algorithms
Automation
CAE) and Design
Computer Applications
Computer science
Computer-Aided Engineering (CAD
Control
Engineering
Information dissemination
Information sources
Marketing
Maximization
Mechatronics
Monte Carlo simulation
Optimization
Propagation
Review
Robotics
Social networks
Viral marketing
social network
influence maximization
influence evaluation
Information diffusion
information source detection
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Summary:Due to the prevalence of social network services, more and more attentions are paid to explore how information diffuses and users affect each other in these networks, which has a wide range of applications, such as viral marketing, reposting prediction and social recommendation. Therefore, in this paper, we review the recent advances on information diffusion analysis in social networks and its applications. Specifically, we first shed light on several popular models to describe the information diffusion process in social networks, which enables three practical applications, i.e., influence evaluation, influence maximization and information source detection. Then, we discuss how to evaluate the authority and influence based on network structures. After that, current solutions to influence maximization and information source detection are discussed in detail, respectively. Finally, some possible research directions of information diffusion analysis are listed for further study.
ISSN:1476-8186
2153-182X
1751-8520
2153-1838
DOI:10.1007/s11633-018-1124-0