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Structure and dynamics of human complication-disease network

Author

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  • Jiang, Xiong-Fei
  • Xiong, Long
  • Bai, Ling
  • Lin, Jie
  • Zhang, Jing-Feng
  • Yan, Kun
  • Zhu, Jia-Zhen
  • Zheng, Bo
  • Zheng, Jian-Jun

Abstract

A complication is an unanticipated disease arisen following, induced by a disease, a treatment or a procedure. We compile a human disease-complication network from the medical data and investigate the characteristics of the network. It is observed that the modules of the network are dominated by the classes of diseases. The relations between modules are unveiled in detail. Three nontrivial motifs are identified from the network. We further simulate the dynamics of motifs with the Boolean dynamic model. Each motif represents a specific dynamic behavior, which is potentially functional in the disease system, such as generating temporal progressions and governing the responses to fluctuating external stimuli.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:chsofr:v:164:y:2022:i:c:s0960077922008141
    DOI: 10.1016/j.chaos.2022.112633
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    References listed on IDEAS

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    1. N. Barkai & S. Leibler, 1997. "Robustness in simple biochemical networks," Nature, Nature, vol. 387(6636), pages 913-917, June.
    2. Anna D. Broido & Aaron Clauset, 2019. "Scale-free networks are rare," Nature Communications, Nature, vol. 10(1), pages 1-10, December.
    3. Petter Holme, 2019. "Rare and everywhere: Perspectives on scale-free networks," Nature Communications, Nature, vol. 10(1), pages 1-3, December.
    4. Christopher E. Lawson & Sha Wu & Ananda S. Bhattacharjee & Joshua J. Hamilton & Katherine D. McMahon & Ramesh Goel & Daniel R. Noguera, 2017. "Metabolic network analysis reveals microbial community interactions in anammox granules," Nature Communications, Nature, vol. 8(1), pages 1-12, August.
    5. 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).
    6. X. F. Jiang & T. T. Chen & B. Zheng, 2014. "Structure of local interactions in complex financial dynamics," Papers 1406.0070, arXiv.org.
    7. XueZhong Zhou & Jörg Menche & Albert-László Barabási & Amitabh Sharma, 2014. "Human symptoms–disease network," Nature Communications, Nature, vol. 5(1), pages 1-10, September.
    8. Rajesh Kumar Singh & Jay P. Maurya & Abdul Azeez & Pal Miskolczi & Szymon Tylewicz & Katja Stojkovič & Nicolas Delhomme & Victor Busov & Rishikesh P. Bhalerao, 2018. "A genetic network mediating the control of bud break in hybrid aspen," Nature Communications, Nature, vol. 9(1), pages 1-10, December.
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