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A paper mill detection model based on citation manipulation paradigm Cover

A paper mill detection model based on citation manipulation paradigm

Open Access
|Jan 2025

Figures & Tables

Figure 1.

Three “Paper mills” citation patterns.
Three “Paper mills” citation patterns.

Figure 2.

The process of constructing meta-paths from heterogeneous graphs.
The process of constructing meta-paths from heterogeneous graphs.

Figure 3.

The framework of our proposed PDCN model.
The framework of our proposed PDCN model.

Figure 4.

Hierarchical attention structure.
Hierarchical attention structure.

Figure 5.

Dataset Construction Process
Dataset Construction Process

Figure 6.

“Paper mills” cases.
“Paper mills” cases.

Matching table for citation patterns and meta-paths_

Pattern ClassificationSpecific modalitiesMeta-paths
1-PP*2-PPP3-PBP4-PJP5-PAuP6-PUP
Circular citation of papers in a journal
Manipulation of ReferencesCross referencing in a journal
Cross-referencing of papers between journals
Papers within journals citing the same papers
Irrelevant CitationsCiting papers that are not relevant to the topic
Carrying citations directly from cited references
Aggregation of Cited PapersSame publisher
Same journal
Same academic society

Experimental results of ablation experiments_

ModelPrecisionRecallF1-scoreNMIARI
H0.1010.8650.1860.0910.129
T+H0.0570.8570.1080.0380.039
T+L0.2310.0410.0690.0180.058
H+L0.4280.4390.4340.2340.414

Heterogeneous map dataset details_

Edge (A-B)Num of ANum of BMeta-pathNum of Meta-pathFeature dimensionTraining setValidation setTesting set
Paper-Paper25,90025,900PP549,452
25,90025,900PPP1,339,889
Paper-Journal25,9003,226PJP2,742,868
Paper-Publisher25,900285PBP81,173,16476814,2583,8727,770
25,900500wPUP62,193
Paper-Auxiliary_Paper25,900500wPUP545,854
Paper-Academic Society25,90016,010PAuP18,016

Meta-path weights in the heterogeneous graph attention network_

Name of Meta-pathMeta-path weights
PP0.0049
PPP0.0052
PJP0.4129
PBP0.0052
PUP0.0111
PUP50.3353
PAuP0.2255

Comparison of experimental results_

ModelPrecisionRecallF1-scoreNMIARI
RGCN0.0470.7940.0890.013-0.01
HGT0.0950.3030.1450.0230.091
GIN0.3330.9540.4940.3250.438
RGAT0.0290.8450.0580.0010.007
LDA-Title0.3810.10390.1633
LDA-Abstract0.5490.4370.487
LDA-Full-text0.4380.2590.326
PDCN0.8190.7950.8050.6260.788
DOI: https://doi.org/10.2478/jdis-2025-0003 | Journal eISSN: 2543-683X | Journal ISSN: 2096-157X
Language: English
Page range: 167 - 187
Submitted on: May 10, 2024
Accepted on: Nov 5, 2024
Published on: Jan 6, 2025
Published by: Chinese Academy of Sciences, National Science Library
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2025 Jun Zhang, Jianhua Liu, Haihong E, Tianyi Hu, Xiaodong Qiao, ZiChen Tang, published by Chinese Academy of Sciences, National Science Library
This work is licensed under the Creative Commons Attribution 4.0 License.