A Method for Plagiarism Detection over Academic Citation Networks

Sidik Soleman, Atsushi Fujii

2018

Abstract

Whereas in the academic publication, citation has been used for a long time to borrow ideas from another document and show the credit to the authors of that document, plagiarism, which does not indicate the appropriate credit for a borrowed idea, has of late become problematic. Because plagiarism detection has been formulated as finding partial near-duplicate in response to a document for a suspected case of plagiarism, in this paper we propose a method to improve the similarity computation between text fragments. Our contribution is to formulate three document similarities based on citation and content analysis, and to combine them in our method. We also show the effectiveness of our method experimentally and discuss its advantages and limitation.

Paper Citation

in Harvard Style

Soleman S. and Fujii A. (2018). A Method for Plagiarism Detection over Academic Citation Networks. In Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2018) - Volume 1: KDIR; ISBN 978-989-758-330-8, SciTePress, pages 274-281. DOI: 10.5220/0006938402740281

in Bibtex Style

@conference{kdir18,
author={Sidik Soleman and Atsushi Fujii},
title={A Method for Plagiarism Detection over Academic Citation Networks},
booktitle={Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2018) - Volume 1: KDIR},
year={2018},
pages={274-281},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006938402740281},
isbn={978-989-758-330-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2018) - Volume 1: KDIR
TI - A Method for Plagiarism Detection over Academic Citation Networks
SN - 978-989-758-330-8
AU - Soleman S.
AU - Fujii A.
PY - 2018
SP - 274
EP - 281
DO - 10.5220/0006938402740281
PB - SciTePress