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Thrips and natural enemies through text data mining and visualization

Author

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  • Karmen Stopar
  • Stanislav Trdan

    (Department of Agronomy, Biotechnical Faculty, University of Ljubljana, Ljubljana, Slovenia)

  • Tomaž Bartol

    (Department of Agronomy, Biotechnical Faculty, University of Ljubljana, Ljubljana, Slovenia)

Abstract

Thrips can cause considerable economic damage. In order to reduce the use of agrochemicals research has also focused on different natural enemies. We used bibliometric mapping and visualization to understand the structure of this field. Articles from Web of Science as well as software Vosviewer were used. Analysis of co-occurrence of terms shows the principal research areas: transmission of viruses, chemical or biological control and new species. A third of articles refer to biological control. Visualizations reveal three major groups of beneficials: entomopathogens, parasitoids, and predators. Recently, attention has shifted mainly to predatory mites as biocontrol agents. Our analysis aims to make such information visually more explanatory with better overview of research directions.

Suggested Citation

  • Karmen Stopar & Stanislav Trdan & Tomaž Bartol, 2021. "Thrips and natural enemies through text data mining and visualization," Plant Protection Science, Czech Academy of Agricultural Sciences, vol. 57(1), pages 47-58.
    • Handle: RePEc:caa:jnlpps:v:57:y:2021:i:1:id:34-2020-pps
    DOI: 10.17221/34/2020-PPS
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    References listed on IDEAS

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    1. M.J. Cobo & A.G. López-Herrera & E. Herrera-Viedma & F. Herrera, 2011. "Science mapping software tools: Review, analysis, and cooperative study among tools," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 62(7), pages 1382-1402, July.
    2. M.J. Cobo & A.G. López‐Herrera & E. Herrera‐Viedma & F. Herrera, 2011. "Science mapping software tools: Review, analysis, and cooperative study among tools," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 62(7), pages 1382-1402, July.
    3. Waltman, Ludo & van Eck, Nees Jan & Noyons, Ed C.M., 2010. "A unified approach to mapping and clustering of bibliometric networks," Journal of Informetrics, Elsevier, vol. 4(4), pages 629-635.
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