A survey of community detection in complex networks using nonnegative matrix factorization
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 …
analysis. It aims to identify communities, represented as cohesive subgroups or clusters …
Intelligent vision-based malware detection and classification using deep random forest paradigm
Malware is a rapidly increasing menace to modern computing. Malware authors continually
incorporate various sophisticated features like code obfuscations to create malware variants …
incorporate various sophisticated features like code obfuscations to create malware variants …
Measuring the network vulnerability based on markov criticality
Vulnerability assessment—a critical issue for networks—attempts to foresee unexpected
destructive events or hostile attacks in the whole system. In this article, we consider a new …
destructive events or hostile attacks in the whole system. In this article, we consider a new …
A weighted network community detection algorithm based on deep learning
S Li, L Jiang, X Wu, W Han, D Zhao, Z Wang - Applied Mathematics and …, 2021 - Elsevier
At present, community detection methods are mostly focused on the investigation at
unweighted networks. However, real-world networks are always complex, and unweighted …
unweighted networks. However, real-world networks are always complex, and unweighted …
Graph communal contrastive learning
Graph representation learning is crucial for many real-world applications (eg social relation
analysis). A fundamental problem for graph representation learning is how to effectively …
analysis). A fundamental problem for graph representation learning is how to effectively …
Aspect-gated graph convolutional networks for aspect-based sentiment analysis
Q Lu, Z Zhu, G Zhang, S Kang, P Liu - Applied Intelligence, 2021 - Springer
Aspect-based sentiment analysis aims to predict the sentiment polarity of each specific
aspect term in a given sentence. However, the previous models ignore syntactical …
aspect term in a given sentence. However, the previous models ignore syntactical …
Blockchain-based event detection and trust verification using natural language processing and machine learning
Z Shahbazi, YC Byun - IEEE Access, 2021 - ieeexplore.ieee.org
Information sharing is one of the huge topics in social media platform regarding the daily
news related to events or disasters happens in nature or its human-made. The automatic …
news related to events or disasters happens in nature or its human-made. The automatic …
Time series clustering for TBM performance investigation using spatio-temporal complex networks
This paper proposes a network-enabled approach for analyzing time series data related to
tunnel boring machine (TBM) excavation behavior in the nature of high dimensionality and …
tunnel boring machine (TBM) excavation behavior in the nature of high dimensionality and …
Trust propagation and trust network evaluation in social networks based on uncertainty theory
Y Xu, Z Gong, JYL Forrest, E Herrera-Viedma - Knowledge-Based Systems, 2021 - Elsevier
Uncertainty distributions can help resolve the difficult problem of measuring subjective
uncertainty within a trust relationship. This paper studies trust propagation and trust network …
uncertainty within a trust relationship. This paper studies trust propagation and trust network …
Comparison of social exclusion and punishment in promoting cooperation: who should play the leading role?
J Quan, Z Pu, X Wang - Chaos, Solitons & Fractals, 2021 - Elsevier
Pro-social exclusion and punishment are effective strategies in preventing free-riding.
Recent literature has demonstrated that when exclusion and punishment coexist, the former …
Recent literature has demonstrated that when exclusion and punishment coexist, the former …