Table 6.
Clusters resulted from thematic analysis.
| Cluster | Callon centrality | Callon density | Rank centrality | Rank density | Cluster frequency |
|---|---|---|---|---|---|
| Web security | 0.01 | 5.88 | 2 | 5 | 17 |
| Classifier | 0.06 | 6.59 | 8 | 7 | 91 |
| Bert | 0.02 | 7.69 | 3 | 13 | 13 |
| Fraud | 0.16 | 7.37 | 13 | 12 | 81 |
| Anomaly detection | 0.08 | 6.90 | 9 | 8 | 52 |
| Detection | 0.09 | 6.19 | 10 | 6 | 53 |
| Machine-learning | 0.63 | 4.84 | 15 | 2 | 1438 |
| Convolution neural network | 0.05 | 5.47 | 7 | 3 | 60 |
| Security | 0.15 | 7.21 | 12 | 10 | 159 |
| LSTM | 0.04 | 7.26 | 6 | 11 | 31 |
| Social engineering | 0.39 | 8.44 | 14 | 14 | 187 |
| Blockchains | 0.11 | 4.20 | 11 | 1 | 61 |
| XGBoost | 0.00 | 10.00 | 1 | 15 | 10 |
| Decision tree | 0.02 | 5.56 | 4 | 4 | 18 |
| Large language models | 0.02 | 7.14 | 5 | 9 | 14 |