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Heterogeneity in an undirected network: Definition and measurement

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  • Hu, Xiaojun
  • Leydesdorff, Loet
  • Rousseau, Ronald

Abstract

Although heterogeneous networks are ubiquitous, a precise definition is lacking, in our opinion. We submit a definition of network heterogeneity and elaborate on a resulting approach to its measurement. This measure is denoted as HE. As an illustration HE is applied to examples from the fields of informetrics and neurosciences. Yet, it is pointed out that our definition has universal applicability.

Suggested Citation

  • Hu, Xiaojun & Leydesdorff, Loet & Rousseau, Ronald, 2017. "Heterogeneity in an undirected network: Definition and measurement," Journal of Informetrics, Elsevier, vol. 11(2), pages 669-682.
    • Handle: RePEc:eee:infome:v:11:y:2017:i:2:p:669-682
    DOI: 10.1016/j.joi.2017.05.003
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    References listed on IDEAS

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    1. Andy Stirling, 2007. "A General Framework for Analysing Diversity in Science, Technology and Society," SPRU Working Paper Series 156, SPRU - Science Policy Research Unit, University of Sussex Business School.
    2. Hu, Hai-Bo & Wang, Xiao-Fan, 2008. "Unified index to quantifying heterogeneity of complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(14), pages 3769-3780.
    3. Jost, Lou, 2009. "Mismeasuring biological diversity: Response to Hoffmann and Hoffmann (2008)," Ecological Economics, Elsevier, vol. 68(4), pages 925-928, February.
    4. Chun-Huo Chiu & Anne Chao, 2014. "Distance-Based Functional Diversity Measures and Their Decomposition: A Framework Based on Hill Numbers," PLOS ONE, Public Library of Science, vol. 9(7), pages 1-17, July.
    5. Lin Zhang & Ronald Rousseau & Wolfgang Glänzel, 2016. "Diversity of references as an indicator of the interdisciplinarity of journals: Taking similarity between subject fields into account," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(5), pages 1257-1265, May.
    6. Loet Leydesdorff & Robert L. Goldstone, 2014. "Interdisciplinarity at the journal and specialty level: The changing knowledge bases of the journal cognitive science," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 65(1), pages 164-177, January.
    7. M. M. Kessler, 1963. "Bibliographic coupling between scientific papers," American Documentation, Wiley Blackwell, vol. 14(1), pages 10-25, January.
    8. 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.
    9. 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.
    10. Raja Kali & Javier Reyes, 2007. "The architecture of globalization: a network approach to international economic integration," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 38(4), pages 595-620, July.
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    Cited by:

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    3. Huang, Chuangxia & Zhao, Xian & Deng, Yunke & Yang, Xiaoguang & Yang, Xin, 2022. "Evaluating influential nodes for the Chinese energy stocks based on jump volatility spillover network," International Review of Economics & Finance, Elsevier, vol. 78(C), pages 81-94.

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