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International Conference on Research in Networking

NETWORKING 2012: NETWORKING 2012 Workshops pp 145–150Cite as

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Visualization of Complex Networks Dynamics: Case Study

Visualization of Complex Networks Dynamics: Case Study

  • Ivan Zelinka17,
  • Donald Davendra17 &
  • Lenka Skanderova17 
  • Conference paper
  • 856 Accesses

  • 5 Citations

Part of the Lecture Notes in Computer Science book series (LNCCN,volume 7291)

Abstract

In this article is discussed novel method of the so-called complex networks dynamics and its visualization by means of so called coupled map lattices method. The main aim of this research is to demonstrate possibility to visualize complex network dynamics by means of the same method, that is used spatiotemporal chaos modeling. It is suggested here to use coupled map lattices system to simulate complex network so that each site is equal to one vertex of complex network. Interaction between network vertices is in coupled map lattices equal to the strength of mutual influence between system sites. Also another results from previous experiments, where dynamics of evolutionary algorithms has been converted to complex network and consequently to CML, are mentioned at the end. All results has been properly visualized and explained.

Keywords

  • complex networks
  • network dynamics
  • coupled map lattices
  • chaos
  • and visualization
  • control of complex systems

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References

  1. Dorogovtsev, S.N., Mendes, J.F.F.: Evolution of Networks. Adv. Phys. 51, 1079 (2002)

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  2. Boccaletti, S., et al.: Complex Networks: Structure and Dynamics. Phys. Rep. 424, 175–308 (2006)

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  3. Zelinka, I., Davendra, D.: Investigation on Relations Between Complex Networks and Evolutionary Algorithm Dynamics. International Journal of Computer Information Systems and Industrial Management Applications (2011) (in print )

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  4. Meyn, S.: Control Techniques for Complex Networks. Cambridge University Press (2007)

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  5. Zelinka, I.: Investigation on Realtime Deterministic Chaos Control by Means of Evolutionary Algorithms, In: 1st IFAC Conference on Analysis and Control of Chaotic Systems, Reims, France (2006)

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  6. Senkerik, R., Zelinka, I., Navratil, E.: Optimization of feedback control of chaos by evolutionary algorithms. In: 1st IFAC Conference on Analysis and Control of Chaotic Systems, Reims, France (2006)

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  7. Zelinka, I.: Investigation on real-time deterministic chaos control by means of evolution-ary algorithms. In: Proc. First IFAC Conference on Analysis and Control of Chaotic Systems, Reims, France, pp. 211–217 (2006)

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  8. Zelinka, I.: Real-time deterministic chaos control by means of selected evolutionary algorithms. Engineering Applications of Artificial Intelligence (2008), doi:10.1016/j.engappai.2008.07.008

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  9. Zelinka, I., Davendra, D., Senkerik, R., Jasek, R.: Does Evolutionary Algorithms Dynamics Create a Complex Networks Structures? Complex Systems 20(2), Champaign, IL 61826 USA

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Author information

Authors and Affiliations

  1. Department of Computer Science, Faculty of Electrical Engineering and Computing Science, Technical University of Ostrava, Tr. 17. Listopadu 15, Ostrava, Czech Republic

    Ivan Zelinka, Donald Davendra & Lenka Skanderova

Authors
  1. Ivan Zelinka
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  2. Donald Davendra
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  3. Lenka Skanderova
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Editor information

Editors and Affiliations

  1. Department of Telecommunications Engineering, Czech Technical University in Prague, Technicka 2, 166 27, Prague 6, Czech Republic

    Zdenek Becvar, Robert Bestak & Lukas Kencl,  & 

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© 2012 IFIP International Federation for Information Processing

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Cite this paper

Zelinka, I., Davendra, D., Skanderova, L. (2012). Visualization of Complex Networks Dynamics: Case Study. In: Becvar, Z., Bestak, R., Kencl, L. (eds) NETWORKING 2012 Workshops. NETWORKING 2012. Lecture Notes in Computer Science, vol 7291. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30039-4_19

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  • DOI: https://doi.org/10.1007/978-3-642-30039-4_19

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-30038-7

  • Online ISBN: 978-3-642-30039-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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