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Betweenness centrality and Q-measures in directed valued networks

Author

Listed:
  • Ronald Rousseau

    (KHBO (Association K.U.Leuven)
    Hasselt University (UHasselt)
    Steunpunt O&O Indicatoren)

  • Lin Zhang

    (Steunpunt O&O Indicatoren
    Henan Normal University
    Dalian University of Technology)

Abstract

Q-measures express the bridging function of nodes in a network subdivided into two groups. An approach to Q-measures in the context of weighted or valued directed networks is proposed. This new approach uses flow centrality as the main concept. Simple examples illustrate the definition.

Suggested Citation

  • Ronald Rousseau & Lin Zhang, 2008. "Betweenness centrality and Q-measures in directed valued networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 75(3), pages 575-590, June.
    • Handle: RePEc:spr:scient:v:75:y:2008:i:3:d:10.1007_s11192-007-1772-2
    DOI: 10.1007/s11192-007-1772-2
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    References listed on IDEAS

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    1. Loet Leydesdorff, 2007. "Mapping interdisciplinarity at the interfaces between the Science Citation Index and the Social Science Citation Index," Scientometrics, Springer;Akadémiai Kiadó, vol. 71(3), pages 391-405, June.
    2. Hildrun Kretschmer, 2004. "Author productivity and geodesic distance in bibliographic co-authorship networks, and visibility on the Web," Scientometrics, Springer;Akadémiai Kiadó, vol. 60(3), pages 409-420, August.
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    Citations

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    Cited by:

    1. Loet Leydesdorff & Caroline S. Wagner & Lutz Bornmann, 2018. "Betweenness and diversity in journal citation networks as measures of interdisciplinarity—A tribute to Eugene Garfield," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(2), pages 567-592, February.
    2. Li, Yongli & Wu, Chong & Wang, Xiaoyu & Luo, Peng, 2014. "A network-based and multi-parameter model for finding influential authors," Journal of Informetrics, Elsevier, vol. 8(3), pages 791-799.
    3. Raf Guns & Yu Xian Liu & Dilruba Mahbuba, 2011. "Q-measures and betweenness centrality in a collaboration network: a case study of the field of informetrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 87(1), pages 133-147, April.
    4. Andrea Landherr & Bettina Friedl & Julia Heidemann, 2010. "A Critical Review of Centrality Measures in Social Networks," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 2(6), pages 371-385, December.
    5. Xiaodong Yang & Jiayu Zhang & Xianbo Zhao, 2018. "Factors Affecting Green Residential Building Development: Social Network Analysis," Sustainability, MDPI, vol. 10(5), pages 1-21, May.
    6. Liu, Xiang & Jiang, Tingting & Ma, Feicheng, 2013. "Collective dynamics in knowledge networks: Emerging trends analysis," Journal of Informetrics, Elsevier, vol. 7(2), pages 425-438.
    7. Rousseau, Ronald & Liu, Yuxian & Guns, Raf, 2013. "Mathematical properties of Q-measures," Journal of Informetrics, Elsevier, vol. 7(3), pages 737-745.
    8. Xian Li & Dangzhi Zhao & Xiaojun Hu, 2020. "Gatekeepers in knowledge transfer between science and technology: an exploratory study in the area of gene editing," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 1261-1277, August.
    9. Lixin Chen & Ronald Rousseau, 2008. "Q-measures for binary divided networks: Bridges between German and English institutes in publications of the Journal of Fluid Mechanics," Scientometrics, Springer;Akadémiai Kiadó, vol. 74(1), pages 57-69, January.
    10. Choong Kwai Fatt & Ephrance Abu Ujum & Kuru Ratnavelu, 2010. "The structure of collaboration in the Journal of Finance," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(3), pages 849-860, December.

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