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Three new bibliometric indicators/approaches derived from keyword analysis

Author

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  • Mengyang Wang

    (Tianjin University)

  • Lihe Chai

    (Tianjin University)

Abstract

Keyword analysis has been an important research theme in bibliometrics. The deduction of new valuable bibliometric indicators/approaches through keyword analysis is important for prompting the further development of this subject area. In this study, the following three bibliometric indicators/approaches were thus derived. Indicator K was derived using the ratio between the average unique keyword number and average keyword frequency of a discipline for quantitatively describing the discipline’s development stages highlighted by scientific-philosopher Kuhn. Next, the correlation matrix analysis was used after k-core filtration to quantitatively expose the detailed correlations between topics for a large network. Thirdly, indicators I (node betweenness divided by node degree) and C (clustering coefficient) were collectively introduced to predict potential growth keywords. Diverse topical evolutions were categorized into a strategic diagram according to the tendencies of I and C. With sustainable development as a case study, we verified that the three new bibliometric indicators/approaches work well and can realize many new concepts beyond the scope of available indicators or approaches. In summary, the present paper makes a renewed effort to promote the development of bibliometrics. We hope our work could catalyze the further studies from the communities in the scientometric fields.

Suggested Citation

  • Mengyang Wang & Lihe Chai, 2018. "Three new bibliometric indicators/approaches derived from keyword analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(2), pages 721-750, August.
    • Handle: RePEc:spr:scient:v:116:y:2018:i:2:d:10.1007_s11192-018-2768-9
    DOI: 10.1007/s11192-018-2768-9
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    1. Danhao Zhu & Dongbo Wang & Saeed-Ul Hassan & Peter Haddawy, 2013. "Small-world phenomenon of keywords network based on complex network," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(2), pages 435-442, November.
    2. Nuha Zamzami & Andrea Schiffauerova, 2017. "The impact of individual collaborative activities on knowledge creation and transmission," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 1385-1413, June.
    3. Wenjia Zhu & Jiancheng Guan, 2013. "A bibliometric study of service innovation research: based on complex network analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(3), pages 1195-1216, March.
    4. Sameer Kumar & Bernd Markscheffel, 2016. "Bonded-communities in HantaVirus research: a research collaboration network (RCN) analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(1), pages 533-550, October.
    5. Kamal Badar & Julie M. Hite & Naeem Ashraf, 2015. "Knowledge network centrality, formal rank and research performance: evidence for curvilinear and interaction effects," Post-Print hal-02945454, HAL.
    6. Kamal Badar & Julie M. Hite & Naeem Ashraf, 2015. "Knowledge network centrality, formal rank and research performance: evidence for curvilinear and interaction effects," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 1553-1576, December.
    7. Wei Zhang & Qingpu Zhang & Bo Yu & Limei Zhao, 2015. "Knowledge map of creativity research based on keywords network and co-word analysis, 1992–2011," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(3), pages 1023-1038, May.
    8. Qian-Ru Zhang & Yue Li & Jia-Shu Liu & Yi-Dan Chen & Li-He Chai, 2017. "A dynamic co-word network-related approach on the evolution of China’s urbanization research," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 1623-1642, June.
    9. Nuno Quental & Júlia M. Lourenço, 2012. "References, authors, journals and scientific disciplines underlying the sustainable development literature: a citation analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(2), pages 361-381, February.
    10. Chen, Wei & Liu, Wenjing & Geng, Yong & Brown, Mark T. & Gao, Cuixia & Wu, Rui, 2017. "Recent progress on emergy research: A bibliometric analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 1051-1060.
    11. Cuiqian Huai & Lihe Chai, 2016. "A bibliometric analysis on the performance and underlying dynamic patterns of water security research," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(3), pages 1531-1551, September.
    12. Jie Zhu & Weijian Hua, 2017. "Visualizing the knowledge domain of sustainable development research between 1987 and 2015: a bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(2), pages 893-914, February.
    13. R. Bailón-Moreno & E. Jurado-Alameda & R. Ruiz-Baños & J. P. Courtial, 2005. "Bibliometric laws: Empirical flaws of fit," Scientometrics, Springer;Akadémiai Kiadó, vol. 63(2), pages 209-229, April.
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    2. Jingyuan Yu & Juan Muñoz-Justicia, 2020. "A Bibliometric Overview of Twitter-Related Studies Indexed in Web of Science," Future Internet, MDPI, vol. 12(5), pages 1-18, May.
    3. Itsuki Kageyama & Karin Kurata & Shuto Miyashita & Yeongjoo Lim & Shintaro Sengoku & Kota Kodama, 2022. "A Bibliometric Analysis of Wearable Device Research Trends 2001–2022—A Study on the Reversal of Number of Publications and Research Trends in China and the USA," IJERPH, MDPI, vol. 19(24), pages 1-19, December.
    4. Ahmed H. Alsharif & Nor Zafir Md Salleh & Rohaizat Baharun & Alharthi Rami Hashem E & Aida Azlina Mansor & Javed Ali & Alhamzah F. Abbas, 2021. "Neuroimaging Techniques in Advertising Research: Main Applications, Development, and Brain Regions and Processes," Sustainability, MDPI, vol. 13(11), pages 1-25, June.
    5. Fernando Morante-Carballo & Néstor Montalván-Burbano & Paúl Carrión-Mero & Nathaly Espinoza-Santos, 2021. "Cation Exchange of Natural Zeolites: Worldwide Research," Sustainability, MDPI, vol. 13(14), pages 1-26, July.
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    7. Lina Pilelienė & Giedrius Jucevičius, 2023. "A Decade of Innovation Ecosystem Development: Bibliometric Review of Scopus Database," Sustainability, MDPI, vol. 15(23), pages 1-26, November.

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