TODD: Time-Aware Opinion Dynamics Diffusion Model for Online Social Networks

2020 ◽  
pp. 235-245
Author(s):  
Aditya Lahiri ◽  
Yash Kumar Singhal ◽  
Adwitiya Sinha
Keyword(s):  
Social Networks ◽  
Diffusion Model ◽  
Online Social Networks ◽  
Opinion Dynamics ◽  
Time Aware

Trust Prediction for Online Social Networks with Integrated Time-Aware Similarity

2021 ◽  
Vol 15 (6) ◽  
pp. 1-30
Author(s):  
Xiaofeng Gao ◽  
Wenyi Xu ◽  
Mingding Liao ◽  
Guihai Chen
Keyword(s):  
Social Networks ◽  
Matrix Factorization ◽  
Online Social Networks ◽  
User Similarity ◽  
Trust Prediction ◽  
Efficiency And Effectiveness ◽  
Effectiveness And Efficiency ◽  
Real World Datasets ◽  
Prediction Approach ◽  
Time Aware

Online social networks gain increasing popularity in recent years. In online social networks, trust prediction is significant for recommendations of high reputation users as well as in many other applications. In the literature, trust prediction problem can be solved by several strategies, such as matrix factorization, trust propagation, and -NN search. However, most of the existing works have not considered the possible complementarity among these mainstream strategies to optimize their effectiveness and efficiency. In this article, we propose a novel trust prediction approach named iSim : an integrated time-aware similarity-based collaborative filtering approach leveraging on user similarity, which integrates three kinds of factors to measure user similarity, including vector space similarity, time-aware matrix factorization, and propagated trust. This article is the first work in the literature employing time-aware matrix factorization and propagated trust in the study of similarity. Additionally, we use several methods like adding inverted index to reduce the time complexity of iSim , and provide its theoretical time bound. Moreover, we also provide the detailed overview and theoretical analysis of the existing works. Finally, the extensive experiments with real-world datasets show that iSim achieves great improvement for both efficiency and effectiveness over the state-of-the-art approaches.

Discrete Opinion Dynamics on Online Social Networks

2013 ◽  
Vol 59 (1) ◽  
pp. 53-58
Author(s):  
Yan-Li Hu ◽  
Liang Bai ◽  
Wei-Ming Zhang
Keyword(s):  
Social Networks ◽  
Online Social Networks ◽  
Opinion Dynamics

scholarly journals Analyzing opinion dynamics in online social networks

2017 ◽  
Vol 1 (4) ◽  
pp. 279-298
Author(s):  
Haotian Zhang ◽  
Krishna Vaidyanathan ◽  
Alan Tsang ◽  
Robin Cohen
Keyword(s):  
Social Networks ◽  
Online Social Networks ◽  
Opinion Dynamics
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