Paper Info
Title
Influence analysis in social networks: A survey.
Abstract
Complementary to the fancy applications of social networks, influence analysis is an indispensable technique supporting these practical applications. In recent years, this emerging research branch has obtained significant attention from both industry and academia. In this new territory, researchers are facing many unprecedented theoretical and practical challenges. Thus, in this survey, we aim to pave a comprehensive and solid starting ground for interested readers by soliciting the latest work in this area. Firstly, we provide an overview of social networks, including definition, and types of social networks. Secondly, we present the current understanding of social influence analysis from different levels, such as its definition, properties, architecture, applications, and diffusion models. Thirdly, we discuss the evaluation metrics for social influence. Fourthly, we summarize the existing evaluation models on social influence in social networks. We further provide an overview of the existing methods for influence maximization. Finally, we discuss the problems of current algorithms and future trends from various perspectives in this field. We hope this work will shed light for more and more forthcoming researchers to further explore the uncharted part of this promising research field.
Year
DOI
Venue
2018
10.1016/j.jnca.2018.01.005
Journal of Network and Computer Applications
Keywords
Field
DocType
Social networks,Influence analysis,Social influence,Evaluation metric,Influence maximization
Data science,Architecture,Social influence analysis,Social network,Computer science,Influence analysis,Social influence,Maximization,Distributed computing
Journal
Volume
ISSN
Citations 
106
1084-8045
15
PageRank 
References 
Authors
0.84
90
6
Name
Order
Citations
PageRank
Sancheng Peng123419.59
Yongmei Zhou2150.84
Lihong Cao3593.65
Shui Yu42365208.84
Jianwei Niu51643141.54
Weijia Jia62656221.35