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Quantifying the social structure of elites in ancient China

Author

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  • Jiang, Xiongfei
  • Xiong, Long
  • Bai, Ling
  • Zhao, Na
  • Zhang, Jiu
  • Xia, Ke
  • Deng, Kai
  • Zheng, Bo

Abstract

With data from epitaphs of elites in ancient China, we construct the elite social networks of the Tang-dynasty and the Song-dynasty. The complexity theory is then introduced to unveil associations between the elite social networks and the history. The top influential elites in ancient China are identified from the elite social networks. We detect the community structure formed with strongly connected elites, and investigate the interactions between the communities. It is observed that the elite social networks of the Tang-dynasty and the Song-dynasty exhibit the neutral and disassortative mixing patterns, respectively. Additionally, this work quantitatively supports the Tang-Song Transition Hypothesis.

Suggested Citation

  • Jiang, Xiongfei & Xiong, Long & Bai, Ling & Zhao, Na & Zhang, Jiu & Xia, Ke & Deng, Kai & Zheng, Bo, 2021. "Quantifying the social structure of elites in ancient China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 573(C).
    • Handle: RePEc:eee:phsmap:v:573:y:2021:i:c:s037843712100248x
    DOI: 10.1016/j.physa.2021.125976
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    References listed on IDEAS

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    1. Thomas T. Hills & Eugenio Proto & Daniel Sgroi & Chanuki Illushka Seresinhe, 2019. "Historical analysis of national subjective wellbeing using millions of digitized books," Nature Human Behaviour, Nature, vol. 3(12), pages 1271-1275, December.
    2. X. F. Jiang & B. Zheng, 2012. "Anti-correlation and subsector structure in financial systems," Papers 1201.6418, arXiv.org.
    3. Edward L. Huttlin & Raphael J. Bruckner & Joao A. Paulo & Joe R. Cannon & Lily Ting & Kurt Baltier & Greg Colby & Fana Gebreab & Melanie P. Gygi & Hannah Parzen & John Szpyt & Stanley Tam & Gabriela Z, 2017. "Architecture of the human interactome defines protein communities and disease networks," Nature, Nature, vol. 545(7655), pages 505-509, May.
    4. X. F. Jiang & T. T. Chen & B. Zheng, 2014. "Structure of local interactions in complex financial dynamics," Papers 1406.0070, arXiv.org.
    5. Li, Yan & Jiang, Xiong-Fei & Tian, Yue & Li, Sai-Ping & Zheng, Bo, 2019. "Portfolio optimization based on network topology," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 515(C), pages 671-681.
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    Cited by:

    1. Bai, Ling & Xiong, Long & Zhao, Na & Xia, Ke & Jiang, Xiong-Fei, 2022. "Dynamical structure of social map in ancient China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 607(C).
    2. Jiang, Xiong-Fei & Xiong, Long & Bai, Ling & Lin, Jie & Zhang, Jing-Feng & Yan, Kun & Zhu, Jia-Zhen & Zheng, Bo & Zheng, Jian-Jun, 2022. "Structure and dynamics of human complication-disease network," Chaos, Solitons & Fractals, Elsevier, vol. 164(C).

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