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Method for Judging Interdisciplinary References in Literature Based on Complex Networks

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Cyber Security Intelligence and Analytics (CSIA 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1146))

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Abstract

The arrival of information age provides a platform for the development of academic field. Knowledge exchanges between disciplines are becoming more frequent, boundaries are gradually blurred, interdisciplinary has become an inevitable trend. In the field of Scientometrics, it has become a new hotspot to study the interdisciplinarity of specific documents by identifying the subject characteristics of references. However, facing a massive academic documents, how to identify the subject characteristics of references quickly and accurately still restricts the development of related research. In this paper, we use the reference data in the field of Gene Editing of 2015 from Web of Science core database, with the help of the indicators of complex network link prediction, five features are selected. Base on this, a non-linear Support Vector Machine classification model is constructed to judge the interdisciplinarity of citation. Finally, the F1 value obtained by 5 fold cross-validation is 0.63, which indicators that the indicators can distinguish the academic citation from the interdisciplinary citation.

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Author information

Authors and Affiliations

  1. College of Economics and Management, Beijing Forestry University, Beijing, 100083, China

    Xiwen Zhang & Xin An

  2. Research Base of Modern Manufacturing Development, College of Economics and Management, Beijing University of Technology, Beijing, 100124, China

    Shuo Xu

Authors
  1. Xiwen Zhang
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  2. Shuo Xu
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  3. Xin An
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Corresponding author

Correspondence to Xin An .

Editor information

Editors and Affiliations

  1. Shanghai University, Shanghai, China

    Zheng Xu

  2. Department of Software Engineering and Game Development, Kennesaw State University, Marietta, GA, USA

    Reza M. Parizi

  3. Manchester Metropolitan University, Stockport, UK

    Mohammad Hammoudeh

  4. School of Engineering and Sciences, Tecnologico de Monterrey, Puebla, Mexico

    Octavio Loyola-González

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Zhang, X., Xu, S., An, X. (2020). Method for Judging Interdisciplinary References in Literature Based on Complex Networks. In: Xu, Z., Parizi, R., Hammoudeh, M., Loyola-González, O. (eds) Cyber Security Intelligence and Analytics. CSIA 2020. Advances in Intelligent Systems and Computing, vol 1146. Springer, Cham. https://doi.org/10.1007/978-3-030-43306-2_50

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