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Unravelling the size distribution of social groups with information theory in complex networks

Author

Listed:
  • A. Hernando
  • D. Villuendas
  • C. Vesperinas
  • M. Abad
  • A. Plastino

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Suggested Citation

  • A. Hernando & D. Villuendas & C. Vesperinas & M. Abad & A. Plastino, 2010. "Unravelling the size distribution of social groups with information theory in complex networks," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 76(1), pages 87-97, July.
    • Handle: RePEc:spr:eurphb:v:76:y:2010:i:1:p:87-97
    DOI: 10.1140/epjb/e2010-00216-1
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    Cited by:

    1. Xiangjie Kong & Huizhen Jiang & Wei Wang & Teshome Megersa Bekele & Zhenzhen Xu & Meng Wang, 2017. "Exploring dynamic research interest and academic influence for scientific collaborator recommendation," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(1), pages 369-385, October.
    2. Baillie, Sarah & Kaye-Blake, William & Smale, Paul & Dennis, Samuel, 2016. "Simulation modelling to investigate nutrient loss mitigation practices," Agricultural Water Management, Elsevier, vol. 177(C), pages 221-228.
    3. Juanjuan Luo & Teng Fei & Meng Tian & Yifei Liu & Meng Bian, 2023. "Sensitivity metrics of complex network based on co-occurrence truth table: exemplified by a high-speed rail network," Journal of Geographical Systems, Springer, vol. 25(4), pages 519-538, October.

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