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Citation Content Analysis and a Digital Library

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Data Analytics and Management in Data Intensive Domains (DAMDID/RCDL 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1003))

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Abstract

This paper presents an approach of two-way data exchange between the citation content analysis, provided by the Cirtec project, and the big research digital library Socionet. Many papers in Socionet have citation relationships with other papers and also linkages with authors’ personal profiles and through them with other information objects. It allows making an enrichment of data for the citation content analysis by different additional information and, as well, linking results of such analysis with objects in a digital library, like papers, their authors, affiliation organizations, etc. We discuss what numeric and qualitative indicators can be built by citation content analysis based on the Cirtec open citation data. Since these indicators have IDs related with digital library objects, they can be integrated and visualized as computer-generated annotations to papers’ full texts in PDF.

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Notes

  1. 1.

    https://socionet.ru/collection.xml?h=spz:neicon&l=en.

  2. 2.

    https://socionet.ru/collection.xml?h=repec:rnp&l=en.

  3. 3.

    https://socionet.ru/collection.xml?h=repec:hig&l=en.

  4. 4.

    http://cirtec.ranepa.ru/data/RePEc/hig/fsight/v%253A11%253Ay%253A2017%253Ai%253A4%253Ap%253A84-95/.

  5. 5.

    In [14] we listed types of in-text citations that were processed.

  6. 6.

    https://authors.repec.org/.

  7. 7.

    https://edirc.repec.org/.

  8. 8.

    An example - https://socionet.ru/fs/ap.cgi?h=repec:hig:fsight:v:11:y:2017:i:4:p:84-95.

  9. 9.

    An example - https://socionet.ru/fs/ap.cgi?h=repec:per:pers:pku327.

  10. 10.

    Victor Lyapunov made needed software and calculations for these experiments.

  11. 11.

    https://en.wikipedia.org/wiki/Damerau%E2%80%93Levenshtein_distance.

  12. 12.

    Thomas Krichel and Roman Puzyrev made needed software and calculations.

  13. 13.

    Aleksandr Tuzovsky and Amir Bakarov made needed software and calculations.

  14. 14.

    https://en.wikipedia.org/wiki/N-gram.

  15. 15.

    https://en.wikipedia.org/wiki/Topic_model.

  16. 16.

    https://en.wikipedia.org/wiki/Latent_Dirichlet_allocation.

  17. 17.

    https://en.wikipedia.org/wiki/Word_embedding.

  18. 18.

    https://en.wikipedia.org/wiki/Word2vec.

  19. 19.

    https://en.wikipedia.org/wiki/Cluster_analysis#Centroid-based_clustering.

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Acknowledgements

A part of this research – the approach of using citation contexts for building statistics with focus on the supercomputer simulation of interactions among the agents and research community environment, is funded by RSF grant (project No. 19-18-00240).

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Authors and Affiliations

  1. Central Economics and Mathematics Institute of RAS, Moscow, Russia

    Sergey Parinov

  2. Russian Presidential Academy of National Economy and Public Administration (RANEPA), Moscow, Russia

    Sergey Parinov

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  1. Sergey Parinov
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Correspondence to Sergey Parinov .

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Editors and Affiliations

  1. Open University of Cyprus, Latsia, Cyprus

    Yannis Manolopoulos

  2. Federal Research Center “Computer Science and Control” of RAS, Moscow, Russia

    Sergey Stupnikov

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Parinov, S. (2019). Citation Content Analysis and a Digital Library. In: Manolopoulos, Y., Stupnikov, S. (eds) Data Analytics and Management in Data Intensive Domains. DAMDID/RCDL 2018. Communications in Computer and Information Science, vol 1003. Springer, Cham. https://doi.org/10.1007/978-3-030-23584-0_12

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  • DOI: https://doi.org/10.1007/978-3-030-23584-0_12

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