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Modular Synchronization in Complex Network with a Gauge Kuramoto Model

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Complex Sciences (Complex 2009)

Abstract

We modify the Kuramoto equation(KE) by introducing a gauge term which is a function of link betweenness centrality(BC). The gauge term induces the phase difference from 0 to π between two nodes that belong to different modules. Therefore, a synchronization occurs in each module individually even though the whole network is not synchronized globally. By measuring the phase similarity of all pairs of connected nodes, we can detect the modular structure of complex networks. This algorithm requires relatively little computational time O(NL) for network with N nodes and L links.

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References

  1. Oh, E., Choi, C., Kahng, B., Kim, D.: Modular synchronization in complex networks with a gauge Kuramoto model. EPL (Europhysics Letters) 83, 68003 (2008)

    Article  Google Scholar 

  2. Reichardt, J., Bornholdt, S.: Detecting Fuzzy Community Structures in Complex Networks with a Potts Model. Phys. Rev. Lett. 93, 218701 (2004)

    Article  Google Scholar 

  3. Girvan, M., Newman, M.E.J.: Community structure in social and biological networks. Proc. Natl. Acad. Sci. U.S.A. 99, 7821 (2002)

    Article  MathSciNet  MATH  Google Scholar 

  4. Clauset, A., Newman, M.E.J., Moore, C.: Finding community structure in very large networks. Phys. Rev. E 70, 066111 (2004)

    Article  Google Scholar 

  5. Arenas, A., Diáz-Guilera, A., Pérez-Vicente, C.J.: Synchronization Reveals Topological Scales in Complex Networks. Phys. Rev. Lett. 96, 114102 (2006)

    Article  Google Scholar 

  6. Boccaletti, S., Ivanchenko, M., Latora, V., Pluchino, A., Rapisarda, A.: Opinion dynamics and synchronization in a network of scientific collaborations. Phys. Rev. E 75, 045102(R) (2007)

    Article  Google Scholar 

  7. Kuramoto, Y.: Chemical Oscillators, Waves and Turbulence. Springer, Berlin (1984)

    Book  MATH  Google Scholar 

  8. Newman, M.E.J., Girvan, M.: Finding and evaluating community structure in networks. Phys. Rev. E 69, 026113 (2004)

    Article  Google Scholar 

  9. Danon, L., Diaz-Guilera, A., Duch, J., Arenas, A.: Comparing community structure identification. J. Stat. Mech.: Theory Exp. P09008 (2005)

    Google Scholar 

  10. Kirkpatrick, S., Gelatt Jr., C.D., Vecchi, M.P.: Optimization by Simulated Annealing. Science 220, 671 (1983)

    Article  MathSciNet  MATH  Google Scholar 

  11. Ravasz, E., Barabasi, A.-L.: Hierarchical organization in complex networks. Phys. Rev. E 67, 026112 (2003)

    Article  MATH  Google Scholar 

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© 2009 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering

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Choi, C., Oh, E., Kahng, B., Kim, D. (2009). Modular Synchronization in Complex Network with a Gauge Kuramoto Model. In: Zhou, J. (eds) Complex Sciences. Complex 2009. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 4. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02466-5_41

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  • DOI: https://doi.org/10.1007/978-3-642-02466-5_41

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-02465-8

  • Online ISBN: 978-3-642-02466-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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