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Adaptive topological coevolution of interdependent networks: Scientific collaboration-citation networks as an example

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  • Liu, Xiao Fan
  • Chen, Hou-Jin
  • Sun, Wu-Jiu

Abstract

Topological evolution is a ubiquitous feature of complex networks. In a set of coupled networks, either with the same or different types of nodes, the topological evolution of a network may have a profound influence on the others. This work i) reports observations of adaptive topological coevolution between the scientific collaboration and paper citation networks, and ii) proposes a concise framework of modeling the coevolution phenomenon between the interdependent networks. Adaptation to structural evolutions from its counterparts is a crucial topological evolutionary mechanism of a complex network. This work provides a new perspective for a better understanding of the driving forces of topological evolution and may further help with applications, such as link prediction and failure mitigation, in complex networks.

Suggested Citation

  • Liu, Xiao Fan & Chen, Hou-Jin & Sun, Wu-Jiu, 2021. "Adaptive topological coevolution of interdependent networks: Scientific collaboration-citation networks as an example," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 564(C).
    • Handle: RePEc:eee:phsmap:v:564:y:2021:i:c:s0378437120308165
    DOI: 10.1016/j.physa.2020.125518
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    References listed on IDEAS

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    1. Paulo R. Guimarães & Mathias M. Pires & Pedro Jordano & Jordi Bascompte & John N. Thompson, 2017. "Indirect effects drive coevolution in mutualistic networks," Nature, Nature, vol. 550(7677), pages 511-514, October.
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    3. Hajra, Kamalika Basu & Sen, Parongama, 2006. "Modelling aging characteristics in citation networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 368(2), pages 575-582.
    4. Smolyak, Alex & Levy, Orr & Shekhtman, Louis & Havlin, Shlomo, 2018. "Interdependent networks in Economics and Finance—A Physics approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 512(C), pages 612-619.
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    Cited by:

    1. Adilson Vital & Diego R. Amancio, 2022. "A comparative analysis of local similarity metrics and machine learning approaches: application to link prediction in author citation networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(10), pages 6011-6028, October.
    2. Cao, Huiying & Gao, Chao & Wang, Zhen, 2023. "Ranking academic institutions by means of institution–publication networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 629(C).
    3. Yan, Li & Cao, Huiying & Gao, Chao & Wang, Zhen & Li, Xuelong, 2023. "Mining of book-loan behavior based on coupling relationship analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 613(C).

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