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Building direct citation networks

Author

Listed:
  • Bruno Miranda Henrique

    () (University of Brasilia)

  • Vinicius Amorim Sobreiro

    () (University of Brasilia)

  • Herbert Kimura

    () (University of Brasilia)

Abstract

Abstract Citation networks are the basis for main path analysis (MPA), which has become an important tool in bibliometric studies. MPA can be used to map the main body of work of a scientific field, highlighting its most important literature and chronological evolution. Its uses goes from surveying the state of the art of a given subject to selecting study material for new research. MPA is conducted on a citation network and there is a well established literature accounting for methods of finding the most relevant paths. However, the details of how the citation network is actually built are not richly described in the specialized literature. Manually relating the available references of a given field would prove to be a difficult task. Given this context, we propose an automatic method, providing a simple algorithm for building citation networks with computer implementations and preventing cyclic paths. The algorithm is built quantitatively and is applicable to studies on the mechanisms of any science field. As an example, we go through every proposed step to select the papers which constitute the main path of the literature on forecasting stock prices using machine learning techniques.

Suggested Citation

  • Bruno Miranda Henrique & Vinicius Amorim Sobreiro & Herbert Kimura, 2018. "Building direct citation networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(2), pages 817-832, May.
  • Handle: RePEc:spr:scient:v:115:y:2018:i:2:d:10.1007_s11192-018-2676-z
    DOI: 10.1007/s11192-018-2676-z
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    References listed on IDEAS

    as
    1. Vincent C. Ma & John S. Liu, 2016. "Exploring the research fronts and main paths of literature: a case study of shareholder activism research," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(1), pages 33-52, October.
    2. Brian Chi-ang Lin & Siqi Zheng & Nicolò Barbieri & Claudia Ghisetti & Marianna Gilli & Giovanni Marin & Francesco Nicolli, 2016. "A Survey Of The Literature On Environmental Innovation Based On Main Path Analysis," Journal of Economic Surveys, Wiley Blackwell, vol. 30(3), pages 596-623, July.
    3. repec:spr:scient:v:64:y:2005:i:3:d:10.1007_s11192-005-0255-6 is not listed on IDEAS
    4. repec:spr:scient:v:94:y:2013:i:1:d:10.1007_s11192-012-0744-3 is not listed on IDEAS
    5. Pai, Ping-Feng & Lin, Chih-Sheng, 2005. "A hybrid ARIMA and support vector machines model in stock price forecasting," Omega, Elsevier, vol. 33(6), pages 497-505, December.
    6. Liu, John S. & Lu, Louis Y.Y. & Lu, Wen-Min & Lin, Bruce J.Y., 2013. "A survey of DEA applications," Omega, Elsevier, vol. 41(5), pages 893-902.
    7. John S. Liu & Hsiao-Hui Chen & Mei Hsiu-Ching Ho & Yu-Chen Li, 2014. "Citations with different levels of relevancy: Tracing the main paths of legal opinions," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 65(12), pages 2479-2488, December.
    8. John S. Liu & Louis Y.Y. Lu, 2012. "An integrated approach for main path analysis: Development of the Hirsch index as an example," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(3), pages 528-542, March.
    9. Garfield, Eugene, 2009. "From the science of science to Scientometrics visualizing the history of science with HistCite software," Journal of Informetrics, Elsevier, vol. 3(3), pages 173-179.
    10. repec:spr:scient:v:84:y:2010:i:2:d:10.1007_s11192-009-0146-3 is not listed on IDEAS
    11. repec:taf:jbemgt:v:17:y:2016:i:6:p:945-959 is not listed on IDEAS
    12. Xiao, Yu & Lu, Louis Y.Y. & Liu, John S. & Zhou, Zhili, 2014. "Knowledge diffusion path analysis of data quality literature: A main path analysis," Journal of Informetrics, Elsevier, vol. 8(3), pages 594-605.
    13. Liu, John S. & Lu, Louis Y.Y. & Lu, Wen-Min & Lin, Bruce J.Y., 2013. "Data envelopment analysis 1978–2010: A citation-based literature survey," Omega, Elsevier, vol. 41(1), pages 3-15.
    14. repec:spr:scient:v:98:y:2014:i:1:d:10.1007_s11192-013-1140-3 is not listed on IDEAS
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