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A Method for Plagiarism Detection over Academic Citation Networks

机译:学术引用网络抄袭检测方法

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摘要

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.
机译:虽然在学术出版物中,引文已被使用很长时间借用其他文件的想法,并向该文件的作者展示了该文件的作者,抄袭,这并不表明借用想法的适当信贷,已迟到成问题。由于抄袭检测已被制定为响应于疑似抄袭的疑似案例的文档找到部分接近副本,因为在本文中,我们提出了一种改进文本碎片之间相似性计算的方法。我们的贡献是根据引文和内容分析制定三个文档相似度,并将其与我们的方法相结合。我们还通过实验显示了我们方法的有效性,并讨论了其优缺点。

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