A Nested Structure of Anomalies in Academic Publication Citations

Renata Avros, Gal Farfel, Zeev Volkovich

2025

Abstract

The article presents a novel approach to detecting nested anomalies in citation networks. These anomalies, as irregularities within citation patterns, significantly threaten the reliability of academic research. Traditional methods for anomaly detection often study the entire citation graph, missing abnormalities within specific subfields or research clusters. Unlike these methods, our approach delves deeper by examining articles within the citation network at different nested scales. Such an approach allows anomalies that might be missed to be uncovered by focusing on a single level, revealing hidden patterns across various granularities, detecting a broader spectrum of nested irregularities, and offering a more nuanced understanding of how citation patterns deviate from the expected. The presented approach supports identifying potential issues, such as citation manipulation, and uncovering emerging trends within the network. The delivered numerical experiments also demonstrate the method's ability to estimate the consistency of the dataset structure.

Paper Citation

in Harvard Style

Avros R., Farfel G. and Volkovich Z. (2025). A Nested Structure of Anomalies in Academic Publication Citations. In Proceedings of the 14th International Conference on Data Science, Technology and Applications - Volume 1: DMBDA; ISBN 978-989-758-758-0, SciTePress, pages 761-768. DOI: 10.5220/0013455300003967

in Bibtex Style

@conference{dmbda25,
author={Renata Avros and Gal Farfel and Zeev Volkovich},
title={A Nested Structure of Anomalies in Academic Publication Citations},
booktitle={Proceedings of the 14th International Conference on Data Science, Technology and Applications - Volume 1: DMBDA},
year={2025},
pages={761-768},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013455300003967},
isbn={978-989-758-758-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Conference on Data Science, Technology and Applications - Volume 1: DMBDA
TI - A Nested Structure of Anomalies in Academic Publication Citations
SN - 978-989-758-758-0
AU - Avros R.
AU - Farfel G.
AU - Volkovich Z.
PY - 2025
SP - 761
EP - 768
DO - 10.5220/0013455300003967
PB - SciTePress