Link Prediction-Based Influence Maximization in Online Social Networks

2021 ◽  
Author(s):  
Ashwini Kumar Singh ◽  
Lakshmanan Kailasam
Keyword(s):  
Social Networks ◽  
Online Social Networks ◽  
Link Prediction ◽  
Influence Maximization

scholarly journals DeepOSN: Bringing deep learning as malicious detection scheme in online social network

2020 ◽  
Vol 9 (1) ◽  
pp. 146
Author(s):  
Putra Wanda ◽  
Marselina Endah Hiswati ◽  
Huang J. Jie
Keyword(s):  
Social Networks ◽  
Computer Vision ◽  
Deep Learning ◽  
Online Social Networks ◽  
Link Prediction ◽  
Online Social Network ◽  
Detection Scheme ◽  
Malicious Activity ◽  
Manual Analysis ◽  
Learning Techniques

Manual analysis for malicious prediction in Online Social Networks (OSN) is time-consuming and costly. With growing users within the environment, it becomes one of the main obstacles. Deep learning is growing algorithm that gains a big success in computer vision problem. Currently, many research communities have proposed deep learning techniques to automate security tasks, including anomalous detection, malicious link prediction, and intrusion detection in OSN. Notably, this article describes how deep learning makes the OSN security technique more intelligent for detecting malicious activity by establishing a classifier model.

Topic based time-sensitive influence maximization in online social networks

2020 ◽  
Vol 23 (3) ◽  
pp. 1831-1859 ◽  
Author(s):  
Huiyu Min ◽  
Jiuxin Cao ◽  
Tangfei Yuan ◽  
Bo Liu
Keyword(s):  
Social Networks ◽  
Online Social Networks ◽  
Influence Maximization

Multilayer Link Prediction in Online Social Networks

2018 ◽  
Author(s):  
Haris Mandal ◽  
Miroslav Mirchev ◽  
Sasho Gramatikov ◽  
Igor Mishkovski
Keyword(s):  
Social Networks ◽  
Online Social Networks ◽  
Link Prediction
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