Graph convolution networks for social media trolls detection use deep feature extraction.
Muhammad AsifMuna Al-RazganYasser A. AliLong YunrongPublished in: J. Cloud Comput. (2024)
Keyphrases
- social media
- feature extraction
- social networks
- image processing
- edge weights
- social graphs
- heterogeneous social networks
- frequency analysis
- preprocessing
- object detection
- graph model
- average degree
- community discovery
- graph representation
- random walk
- detection algorithm
- detection method
- network structure
- feature vectors
- dynamic networks
- information diffusion
- network analysis
- structured data
- detection rate
- fully connected
- complex networks
- wavelet transform
- social graph
- connected components
- network size
- graph structure
- small world
- graph matching
- dimensionality reduction
- community detection
- manifold learning
- diffusion process
- frequency domain
- user generated content
- feature extraction and classification
- betweenness centrality
- bipartite graph
- anomaly detection
- directed edges
- weighted graph