The paper describes the problem of scientific projects double funding. A method for double funding detection is presented, which is based on text similarity and plagiarism detection. We conduct experiments on a dataset provided by the Russian Foundation for Basic Research. We show some statistics of found text reuse cases and outline strategies that are used to get double funding.
Статья в Сборнике научных трудов на сайте XIX Международной конференции DAMDID / RCDL’2017 (на англ.): https://damdid2017.frccsc.ru/files/DAMDID_RCDL_2017_Proceedings.pdf
РИНЦ: https://elibrary.ru/item.asp?id=35119069
Читать на ResearchGate (на англ.): https://www.researchgate.net/publication/324013260_Double_Funding_of_Scientific_Projects_Similarity_and_Plagiarism_Detection
Zubarev D. V., Sochenkov I. V., Tikhomirov I. A., Grigoriev O. G. Double Funding of Scientific Projects: Similarity and Plagiarism Detection. Paper from «Data Analytics and Management in Data Intensive Domains» conference (DAMDID/RCDL 2017), pp. 282-285 (2017)