A survey of community detection in complex networks using nonnegative matrix factorization

C He, X Fei, Q Cheng, H Li, Z Hu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Community detection is one of the popular research topics in the field of complex networks
analysis. It aims to identify communities, represented as cohesive subgroups or clusters …

Identifying Covid-19 misinformation tweets and learning their spatio-temporal topic dynamics using Nonnegative Coupled Matrix Tensor Factorization

T Balasubramaniam, R Nayak, K Luong… - Social Network Analysis …, 2021 - Springer
Social media platforms like Twitter have become an easy portal for billions of people to
connect and exchange their thoughts. Unfortunately, people commonly use these platforms …

Learning inter-and intra-manifolds for matrix factorization-based multi-aspect data clustering

K Luong, R Nayak - IEEE Transactions on Knowledge and Data …, 2020 - ieeexplore.ieee.org
Clustering on the data with multiple aspects, such as multi-view or multi-type relational data,
has become popular in recent years due to their wide applicability. The approach using …

[PDF][PDF] Multi-view Clustering of Social-based Data.

I Cruickshank - 2020 - reports-archive.adm.cs.cmu.edu
Real-world, social phenomena produce various types of data, like explicit networks or user-
emitted text. When different sets of data describe the same entities, the data is termed multi …

Multi-aspect Data Learning: Overview, Challenges and Approaches

R Nayak, K Luong - Multi-aspect Learning: Methods and Applications, 2023 - Springer
Multi-aspect data, which represents information from multiple perspectives, is becoming
increasingly common and important. This is because such data has the ability to incorporate …

Discovering communities with SGNS modelling-based network connections and text communications clustering

WA Mohotti, R Nayak - 2020 IEEE Symposium Series on …, 2020 - ieeexplore.ieee.org
By the community discovery, the microblogging services facilitate diverse applications such
as viral marketing, disaster management, customized programs, and many more. However …

Knowledge discovery from social networks using interaction frequency and user hierarchy

GT Tennakoon Mudiyanselage - 2020 - eprints.qut.edu.au
The immense popularity of social media creates a great opportunity for businesses, citizens,
politicians, and other services to reach society. Graph mining techniques are commonly …