Advances in big data analytics
Y Shi - Adv Big Data Anal, 2022 - Springer
Today, we are in the big data era. Big data has become a reality that no one can ignore. Big
data is our environment whenever we need to make decision. Big data is a buzz word that …
data is our environment whenever we need to make decision. Big data is a buzz word that …
Building trust/distrust relationships on signed social service network through privacy-aware link prediction process
With the ever-increasing popularity of social software, we can easily establish a signed
social n etwork (SSN) by capturing users' attitudes (ie, trust/distrust, friend/enemies …
social n etwork (SSN) by capturing users' attitudes (ie, trust/distrust, friend/enemies …
Mining user interest based on personality-aware hybrid filtering in social networks
With the emergence of online social networks and microblogging websites, user interest
mining has been an active research topic for the past few years. However, most of the …
mining has been an active research topic for the past few years. However, most of the …
CNDP: Link prediction based on common neighbors degree penalization
In social network analysis, link prediction is a fundamental tool to determine new
relationships among users which are most likely to occur in the future. Link prediction by …
relationships among users which are most likely to occur in the future. Link prediction by …
An Overview of Similarity-Based Methods in Predicting Social Network Links: A Comparative Analysis
SU Balvir, MM Raghuwanshi, PD Shobhane - IEEE Access, 2024 - ieeexplore.ieee.org
Link prediction in the Social Network is most important and an essential part now a days.
The continued growth and evolution of this field will lead to new and improved methods for …
The continued growth and evolution of this field will lead to new and improved methods for …
Similarity-based link prediction in social networks using latent relationships between the users
Social network analysis has recently attracted lots of attention among researchers due to its
wide applicability in capturing social interactions. Link prediction, related to the likelihood of …
wide applicability in capturing social interactions. Link prediction, related to the likelihood of …
A fusion probability matrix factorization framework for link prediction
Z Wang, J Liang, R Li - Knowledge-Based Systems, 2018 - Elsevier
Link prediction is a fundamental research problem in network data analysis. Networks
usually contain rich node-to-node topological metrics and their effective use is crucial to …
usually contain rich node-to-node topological metrics and their effective use is crucial to …
PILHNB: Popularity, interests, location used hidden Naive Bayesian-based model for link prediction in dynamic social networks
Link prediction aims to predict the missing interactions in evolving networks that may appear
in the future. It has practical importance in various real-world applications, ranging from …
in the future. It has practical importance in various real-world applications, ranging from …
Link prediction in complex networks based on the interactions among paths
Y Yao, R Zhang, F Yang, J Tang, Y Yuan… - Physica A: Statistical …, 2018 - Elsevier
Link prediction in incomplete complex networks is an important issue in network science.
Recently, various structure-based similarity methods have been proposed. However, most …
Recently, various structure-based similarity methods have been proposed. However, most …
Link prediction of scientific collaboration networks based on information retrieval
Link prediction plays an important role in scientific collaboration networks, and can
favourably affect the organization of international scientific projects. In this paper, a meta …
favourably affect the organization of international scientific projects. In this paper, a meta …