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On the stability of citation networks

Author

Listed:
  • Benatti, Alexandre
  • de Arruda, Henrique Ferraz
  • Silva, Filipi Nascimento
  • Comin, César Henrique
  • da Fontoura Costa, Luciano

Abstract

Citation networks can reveal important information regarding the development of science and the relationship between different areas of knowledge. Frequently, citation networks are created using articles acquired from a set of relevant keywords or queries. Here, we study the robustness of citation networks communities with regards to the keywords that were used for collecting the respective articles. A perturbation approach is proposed, in which the influence of missing keywords on the community structure of citation networks is quantified. In addition, the relationship between keywords and the community structure of citation networks is studied using networks generated from a simple model. We find that, owing to its highly modular structure, the community structure of citation networks tends to be preserved even when many relevant keywords are left out. Furthermore, the proposed model can reflect the impact of missing keywords on different situations.

Suggested Citation

  • Benatti, Alexandre & de Arruda, Henrique Ferraz & Silva, Filipi Nascimento & Comin, César Henrique & da Fontoura Costa, Luciano, 2023. "On the stability of citation networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 610(C).
    • Handle: RePEc:eee:phsmap:v:610:y:2023:i:c:s0378437122009578
    DOI: 10.1016/j.physa.2022.128399
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    References listed on IDEAS

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    1. Benatti, Alexandre & Ferraz de Arrruda, Henrique & Nascimento Silva, Filipi & da Fontoura Costa, Luciano, 2021. "Enriching and analyzing small citation networks: A case study on transistor’s history," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 573(C).
    2. Martin Rosvall & Carl T Bergstrom, 2011. "Multilevel Compression of Random Walks on Networks Reveals Hierarchical Organization in Large Integrated Systems," PLOS ONE, Public Library of Science, vol. 6(4), pages 1-10, April.
    3. Leonardo Reyes-Gonzalez & Claudia N. Gonzalez-Brambila & Francisco Veloso, 2016. "Using co-authorship and citation analysis to identify research groups: a new way to assess performance," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(3), pages 1171-1191, September.
    4. Caroline Ceribeli & Henrique Ferraz de Arruda & Luciano da Fontoura Costa, 2021. "How coupled are capillary electrophoresis and mass spectrometry?," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(5), pages 3841-3851, May.
    5. Henrique F. Arruda & Cesar H. Comin & Luciano da F. Costa, 2018. "How integrated are theoretical and applied physics?," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(2), pages 1113-1121, August.
    6. Silva, Filipi N. & Amancio, Diego R. & Bardosova, Maria & Costa, Luciano da F. & Oliveira, Osvaldo N., 2016. "Using network science and text analytics to produce surveys in a scientific topic," Journal of Informetrics, Elsevier, vol. 10(2), pages 487-502.
    7. M. Meyer & K. Debackere & W. Glänzel, 2010. "Can applied science be ‘good science’? Exploring the relationship between patent citations and citation impact in nanoscience," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(2), pages 527-539, November.
    8. Lawrence Hubert & Phipps Arabie, 1985. "Comparing partitions," Journal of Classification, Springer;The Classification Society, vol. 2(1), pages 193-218, December.
    9. Martin Rosvall & Carl T Bergstrom, 2010. "Mapping Change in Large Networks," PLOS ONE, Public Library of Science, vol. 5(1), pages 1-7, January.
    10. Gazis, D. C., 1979. "Influence of technology on science: a comment on some experiences at IBM research," Research Policy, Elsevier, vol. 8(3), pages 244-259, July.
    11. Mojisola Erdt & Aarthy Nagarajan & Sei-Ching Joanna Sin & Yin-Leng Theng, 2016. "Altmetrics: an analysis of the state-of-the-art in measuring research impact on social media," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 1117-1166, November.
    12. R. J. W. Tussen & R. K. Buter & Th. N. van Leeuwen, 2000. "Technological Relevance of Science: An Assessment of Citation Linkages between Patents and Research Papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 47(2), pages 389-412, February.
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