A paper mill detection model based on citation manipulation paradigm
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06 ene 2025
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Categoría del artículo: Research Papers
Publicado en línea: 06 ene 2025
Páginas: 167 - 187
Recibido: 10 may 2024
Aceptado: 05 nov 2024
DOI: https://doi.org/10.2478/jdis-2025-0003
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© 2025 Jun Zhang et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
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Matching table for citation patterns and meta-paths_
| Pattern Classification | Specific modalities | Meta-paths | |||||
|---|---|---|---|---|---|---|---|
| 1-PP |
2-PPP | 3-PBP | 4-PJP | 5-PAuP | 6-PUP | ||
| Circular citation of papers in a journal | ☑ | ☑ | |||||
| Manipulation of References | Cross referencing in a journal | ☑ | ☑ | ☑ | |||
| Cross-referencing of papers between journals | ☑ | ☑ | ☑ | ||||
| Papers within journals citing the same papers | ☑ | ☑ | ☑ | ||||
| Irrelevant Citations | Citing papers that are not relevant to the topic | ☑ | |||||
| Carrying citations directly from cited references | ☑ | ☑ | |||||
| Aggregation of Cited Papers | Same publisher | ☑ | ☑ | ||||
| Same journal | ☑ | ☑ | |||||
| Same academic society | ☑ | ☑ | |||||
Experimental results of ablation experiments_
| Model | Precision | Recall | F1-score | NMI | ARI |
|---|---|---|---|---|---|
| H | 0.101 | 0.865 | 0.186 | 0.091 | 0.129 |
| T+H | 0.057 | 0.857 | 0.108 | 0.038 | 0.039 |
| T+L | 0.231 | 0.041 | 0.069 | 0.018 | 0.058 |
| H+L | 0.428 | 0.439 | 0.434 | 0.234 | 0.414 |
Heterogeneous map dataset details_
| Edge (A-B) | Num of A | Num of B | Meta-path | Num of Meta-path | Feature dimension | Training set | Validation set | Testing set |
|---|---|---|---|---|---|---|---|---|
| Paper-Paper | 25,900 | 25,900 | PP | 549,452 | ||||
| 25,900 | 25,900 | PPP | 1,339,889 | |||||
| Paper-Journal | 25,900 | 3,226 | PJP | 2,742,868 | ||||
| Paper-Publisher | 25,900 | 285 | PBP | 81,173,164 | 768 | 14,258 | 3,872 | 7,770 |
| 25,900 | 500w | PUP | 62,193 | |||||
| Paper-Auxiliary_Paper | 25,900 | 500w | PUP5 | 45,854 | ||||
| Paper-Academic Society | 25,900 | 16,010 | PAuP | 18,016 |
Meta-path weights in the heterogeneous graph attention network_
| Name of Meta-path | Meta-path weights |
|---|---|
| PP | 0.0049 |
| PPP | 0.0052 |
| PJP | 0.4129 |
| PBP | 0.0052 |
| PUP | 0.0111 |
| PUP5 | 0.3353 |
| PAuP | 0.2255 |
Comparison of experimental results_
| Model | Precision | Recall | F1-score | NMI | ARI |
|---|---|---|---|---|---|
| RGCN | 0.047 | 0.794 | 0.089 | 0.013 | -0.01 |
| HGT | 0.095 | 0.303 | 0.145 | 0.023 | 0.091 |
| GIN | 0.333 | 0.954 | 0.494 | 0.325 | 0.438 |
| RGAT | 0.029 | 0.845 | 0.058 | 0.001 | 0.007 |
| LDA-Title | 0.381 | 0.1039 | 0.1633 | ||
| LDA-Abstract | 0.549 | 0.437 | 0.487 | ||
| LDA-Full-text | 0.438 | 0.259 | 0.326 | ||