Spammer group detection based on cascading and clustering of core figures
Abstract The problem of collaborative spamming in e-commerce is gradually increasing, and traditional spammer group detection algorithms usually seem cumbersome and time-consuming when dealing with massive user review data. Thus, this research proposes a spammer group detection algorithm based on ca...
Saved in:
| Main Authors: | Qianqian Jiang, Chunrong Zhang, Ning Li, Dickson K. W. Chiu, Xianwen Fang, Shujuan Ji |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2025-07-01
|
| Series: | Cybersecurity |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s42400-024-00313-w |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
D3GNN: Double dual dynamic graph neural network for multisource remote sensing data classification
by: Teng Yang, et al.
Published: (2025-05-01) -
eDNA Metabarcoding Reveals Homogenization of Fish in Fujiang Segments Isolated by Cascading Hydroelectric Stations
by: Chao Deng, et al.
Published: (2025-07-01) -
Spatio-Temporal Meta-Graph Learning for Recommendation on Heterogeneous Graphs
by: Xiaofei Yang, et al.
Published: (2025-01-01) -
Heterogeneous network drug-target interaction prediction model based on graph wavelet transform and multi-level contrastive learning
by: Wenfeng Dai, et al.
Published: (2025-08-01) -
Self-Supervised Enhancement Method for Multi-Behavior Session-Based Recommendation
by: Zhen Zhang, et al.
Published: (2024-01-01)