Pre-registered analysis plan: real-data evaluation of SCAFDS fraud co-occurrence edges on US bank networks

Pre-registered analysis plan, frozen before outcome data were constructed or examined. Specifies hypotheses, data, outcomes, leakage rules, splits, models, metrics and the decision rule for a real-data evaluation of the SCAFDS fraud co-occurrence edge feature on public US bank data.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-11
DOI
https://doi.org/10.5281/zenodo.24131730
Primary Topic
Complex Network Analysis Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

Pre-registered analysis plan: real-data evaluation of SCAFDS fraud co-occurrence edges on US bank networks

Mohammad Nasir Uddin
Zenodo (CERN European Organization for Nuclear Research)
Complex Network Analysis Techniques
article

Pre-registered analysis plan: real-data evaluation of SCAFDS fraud co-occurrence edges on US bank networks

Mohammad Nasir Uddin
article en

Abstract

Pre-registered analysis plan, frozen before outcome data were constructed or examined. Specifies hypotheses, data, outcomes, leakage rules, splits, models, metrics and the decision rule for a real-data evaluation of the SCAFDS fraud co-occurrence edge feature on public US bank data.

Zenodo (CERN European Organization for Nuclear Research)
Complex Network Analysis Techniques
DOIOpen Access PDFOpenAlex
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Pre-registered analysis plan: real-data evaluation of SCAFDS fraud co-occurrence edges on US bank networks — Mohammad Nasir Uddin · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS