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Visualizing the marrow of science

Author

Listed:
  • SCImago Group: Félix de Moya‐Anegón
  • Benjamín Vargas‐Quesada
  • Zaida Chinchilla‐Rodríguez
  • Elena Corera‐Álvarez
  • Francisco J. Munoz‐Fernández
  • Victor Herrero‐Solana

Abstract

This study proposes a new methodology that allows for the generation of scientograms of major scientific domains, constructed on the basis of cocitation of Institute of Scientific Information categories, and pruned using PathfinderNetwork, with a layout determined by algorithms of the spring‐embedder type (Kamada–Kawai), then corroborated structurally by factor analysis. We present the complete scientogram of the world for the Year 2002. It integrates the natural sciences, the social sciences, and arts and humanities. Its basic structure and the essential relationships therein are revealed, allowing us to simultaneously analyze the macrostructure, microstructure, and marrow of worldwide scientific output.

Suggested Citation

  • SCImago Group: Félix de Moya‐Anegón & Benjamín Vargas‐Quesada & Zaida Chinchilla‐Rodríguez & Elena Corera‐Álvarez & Francisco J. Munoz‐Fernández & Victor Herrero‐Solana, 2007. "Visualizing the marrow of science," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 58(14), pages 2167-2179, December.
  • Handle: RePEc:bla:jamist:v:58:y:2007:i:14:p:2167-2179
    DOI: 10.1002/asi.20683
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    Cited by:

    1. Rongying Zhao & Bikun Chen, 2014. "Applying author co-citation analysis to user interaction analysis: a case study on instant messaging groups," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 985-997, November.
    2. Ismael Rafols & Martin Meyer, 2010. "Diversity and network coherence as indicators of interdisciplinarity: case studies in bionanoscience," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(2), pages 263-287, February.
    3. Jesus Palomo & Cristina Figueroa-Domecq & Pilar Laguna, 2017. "Women, peace and security state-of-art: a bibliometric analysis in social sciences based on SCOPUS database," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(1), pages 123-148, October.
    4. Andrea Bonaccorsi & Filippo Chiarello & Gualtiero Fantoni, 2021. "Impact for whom? Mapping the users of public research with lexicon-based text mining," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 1745-1774, February.
    5. Andrea Bonaccorsi & Nicola Melluso & Francesco Alessandro Massucci, 2022. "Exploring the antecedents of interdisciplinarity at the European Research Council: a topic modeling approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 6961-6991, December.

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