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The basic principles of topology-dynamics relations in networks: An empirical approach

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  • Kohestani, Havva
  • Totonkuban, Mahbubeh
  • Di Paola, Luisa
  • Todde, Virginia
  • Giuliani, Alessandro

Abstract

Inferring functional properties of a node from its topological role in the network is of utmost importance in many application fields. In this work, we try to give some hints on this issue focusing on the discovery of empirical topology/function rules located at different degrees of generalization going from a population of heterogeneous biological networks to a single wiring architecture.

Suggested Citation

  • Kohestani, Havva & Totonkuban, Mahbubeh & Di Paola, Luisa & Todde, Virginia & Giuliani, Alessandro, 2018. "The basic principles of topology-dynamics relations in networks: An empirical approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 508(C), pages 584-594.
    • Handle: RePEc:eee:phsmap:v:508:y:2018:i:c:p:584-594
    DOI: 10.1016/j.physa.2018.05.045
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    References listed on IDEAS

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    1. Jianxi Gao & Baruch Barzel & Albert-László Barabási, 2016. "Universal resilience patterns in complex networks," Nature, Nature, vol. 530(7590), pages 307-312, February.
    2. Livi, Lorenzo & Maiorino, Enrico & Pinna, Andrea & Sadeghian, Alireza & Rizzi, Antonello & Giuliani, Alessandro, 2016. "Analysis of heat kernel highlights the strongly modular and heat-preserving structure of proteins," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 441(C), pages 199-214.
    3. Giuliani, Alessandro & Colafranceschi, Mauro & Webber, Charles L & Zbilut, Joseph P, 2001. "A complexity score derived from principal components analysis of nonlinear order measures," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 301(1), pages 567-588.
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