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Title: Analysis of citation networks as a new tool for scientific research

Abstract

The rapid growth of scientific publications necessitates new methods to understand the direction of scientific research within fields of study, ascertain the importance of particular groups, authors, or institutions, compute metrics that can determine the importance (centrality) of particular seminal papers, and provide insight into the social (collaboration) networks that are present. We present one such method based on analysis of citation networks, using the freely available CiteSpace Program. We use citation network analysis on three examples, including a single material that has been widely explored in the last decade (BiFeO3), two small subfields with a minimal number of authors (flexoelectricity and Kitaev physics), and a much wider field with thousands of publications pertaining to a single technique (scanning tunneling microscopy). Interpretation of the analysis and key insights into the fields, such as whether the fields are experiencing resurgence or stagnation, are discussed, and author or collaboration networks that are prominent are determined. Such methods represent a paradigm shift in our way of dealing with the large volume of scientific publications and could change the way literature searches and reviews are conducted, as well as how the impact of specific work is assessed.

Authors:
 [1];  [1];  [2];  [1]
  1. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
  2. Drexel Univ., Philadelphia, PA (United States)
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE Office of Science (SC)
OSTI Identifier:
1335301
Grant/Contract Number:  
AC05-00OR22725
Resource Type:
Accepted Manuscript
Journal Name:
MRS Bulletin
Additional Journal Information:
Journal Volume: 41; Journal Issue: 12; Journal ID: ISSN 0883-7694
Publisher:
Materials Research Society
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING; ferroelectricity; BiFeO3; scanning probe microscopy (SPM); electronic material

Citation Formats

Vasudevan, R. K., Ziatdinov, M., Chen, C., and Kalinin, S. V. Analysis of citation networks as a new tool for scientific research. United States: N. p., 2016. Web. doi:10.1557/mrs.2016.270.
Vasudevan, R. K., Ziatdinov, M., Chen, C., & Kalinin, S. V. Analysis of citation networks as a new tool for scientific research. United States. doi:10.1557/mrs.2016.270.
Vasudevan, R. K., Ziatdinov, M., Chen, C., and Kalinin, S. V. Tue . "Analysis of citation networks as a new tool for scientific research". United States. doi:10.1557/mrs.2016.270. https://www.osti.gov/servlets/purl/1335301.
@article{osti_1335301,
title = {Analysis of citation networks as a new tool for scientific research},
author = {Vasudevan, R. K. and Ziatdinov, M. and Chen, C. and Kalinin, S. V.},
abstractNote = {The rapid growth of scientific publications necessitates new methods to understand the direction of scientific research within fields of study, ascertain the importance of particular groups, authors, or institutions, compute metrics that can determine the importance (centrality) of particular seminal papers, and provide insight into the social (collaboration) networks that are present. We present one such method based on analysis of citation networks, using the freely available CiteSpace Program. We use citation network analysis on three examples, including a single material that has been widely explored in the last decade (BiFeO3), two small subfields with a minimal number of authors (flexoelectricity and Kitaev physics), and a much wider field with thousands of publications pertaining to a single technique (scanning tunneling microscopy). Interpretation of the analysis and key insights into the fields, such as whether the fields are experiencing resurgence or stagnation, are discussed, and author or collaboration networks that are prominent are determined. Such methods represent a paradigm shift in our way of dealing with the large volume of scientific publications and could change the way literature searches and reviews are conducted, as well as how the impact of specific work is assessed.},
doi = {10.1557/mrs.2016.270},
journal = {MRS Bulletin},
number = 12,
volume = 41,
place = {United States},
year = {2016},
month = {12}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record

Figures / Tables:

Figure 1 Figure 1: The growth of research publications. (a) Number of publications per year. The red line indicates the exponential fit to the number of publications, yp. The trend is also obvious for smaller fields. Reprinted with permission from Reference 12. © 2015 Wiley. (b) The number of articles on topologicalmore » insulators has been increasing dramatically since 2008. (c) The entropy of terms is an excellent method to determine the rate of new discoveries within a particular area. Entropy here is a measure of the degree of unpredictability of the terms found in each year’s abstracts; the number refers to the ability to predict the terms in the abstract for the current year from those in the previous years. If a field experiences a dramatic change, new terms will be used in the abstracts, resulting in a large increase in entropy. However, if a field is stagnating, the entropy will be reduced. These are shown for two topics—bismuth ferrite and Kitaev model.« less

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    Figures/Tables have been extracted from DOE-funded journal article accepted manuscripts.