The evolving ecosystem of predatory journals: a case study in Indian perspective

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dc.contributor.author Jain, Naman
dc.contributor.author Singh, Mayank
dc.date.accessioned 2019-06-29T06:04:58Z
dc.date.available 2019-06-29T06:04:58Z
dc.date.issued 2019-06
dc.identifier.citation Jain, Naman and Singh, Mayank, "The evolving ecosystem of predatory journals: a case study in Indian perspective", arXiv, Cornell University Library, DOI: arXiv:1906.06856, Jun. 2019. en_US
dc.identifier.uri http://arxiv.org/abs/1906.06856
dc.identifier.uri https://repository.iitgn.ac.in/handle/123456789/4588
dc.description.abstract Digital advancement in scholarly repositories has led to the emergence of a large number of open access predatory publishers that charge high article processing fees from authors but fail to provide necessary editorial and publishing services. Identifying and blacklisting such publishers has remained a research challenge due to the highly volatile scholarly publishing ecosystem. This paper presents a data-driven approach to study how potential predatory publishers are evolving and bypassing several regularity constraints. We empirically show the close resemblance of predatory publishers against reputed publishing groups. In addition to verifying standard constraints, we also propose distinctive signals gathered from network-centric properties to understand this evolving ecosystem better.
dc.description.statementofresponsibility by Naman Jain and Mayank Singh
dc.language.iso en en_US
dc.publisher Cornell University Library en_US
dc.title The evolving ecosystem of predatory journals: a case study in Indian perspective en_US
dc.type Preprint en_US


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