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Method for Judging Interdisciplinary References in Literature Based on Complex Networks

  • Xiwen Zhang
  • Shuo Xu
  • Xin AnEmail author
Conference paper
  • 27 Downloads
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1146)

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.

Keywords

Citation analysis Interdisciplinary SVM 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.College of Economics and ManagementBeijing Forestry UniversityBeijingChina
  2. 2.Research Base of Modern Manufacturing Development, College of Economics and ManagementBeijing University of TechnologyBeijingChina

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