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Unstable network fragmentation in co-evolution of Potts spins and system topology

Author

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  • Toruniewska, Joanna
  • Suchecki, Krzysztof
  • Hołyst, Janusz A.

Abstract

We investigate co-evolution of discrete q-state Potts model and the underlying network topology, where spin changes and link re-wiring follow the same canonical ensemble dynamics in a constant temperature. It means that there are no absorbing, frozen states present in our model. Depending on the temperature T and probability of link dynamics p the system can exist in one of three states: ordered, disordered and ordered clusters (fragmented network), with the last being unstable and slowly relaxing into ordered state. The transition from ordered clusters to globally ordered system is characterized by non-exponential, slow growth of the order parameter. We investigate this process analytically and explain the transition characteristics as the result of the dominance of activity of “surface” nodes in each ordered cluster, as opposed to “bulk” nodes that are inactive.

Suggested Citation

  • Toruniewska, Joanna & Suchecki, Krzysztof & Hołyst, Janusz A., 2016. "Unstable network fragmentation in co-evolution of Potts spins and system topology," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 460(C), pages 1-15.
    • Handle: RePEc:eee:phsmap:v:460:y:2016:i:c:p:1-15
    DOI: 10.1016/j.physa.2016.04.029
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    References listed on IDEAS

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    1. Dorogovtsev, S.N. & Mendes, J.F.F., 2003. "Evolution of Networks: From Biological Nets to the Internet and WWW," OUP Catalogue, Oxford University Press, number 9780198515906.
    2. Lambiotte, Renaud & González-Avella, Juan Carlos, 2011. "On co-evolution and the importance of initial conditions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(2), pages 392-397.
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    Cited by:

    1. Yin, Likang & Deng, Yong, 2018. "Measuring transferring similarity via local information," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 498(C), pages 102-115.
    2. Małgorzata J Krawczyk & Krzysztof Kułakowski & Janusz A Hołyst, 2018. "Hierarchical partitions of social networks between rivaling leaders," PLOS ONE, Public Library of Science, vol. 13(3), pages 1-13, March.

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