Skip to main content
Log in

From unweighted to weighted generalized Farey organized tree and the pyramid networks

  • Published:
Journal of Systems Science and Complexity Aims and scope Submit manuscript

Abstract

Generalized Farey tree network (GFTN) and generalized Farey organized pyramid network (GFOPN) model are proposed, and their topological characteristics are studied by both theoretical analysis and numerical simulations, which are in good accordance with each other. Then weighted GFTN is studied using cumulative distributions of its Farey number value, edge weight, and node strength. These results maybe helpful for future theoretical development of hybrid models.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. S. H. Kim and S. Ostlund, Simultaneous rational approximations in the study of dynamical systems, Physical Review A, 1986, 34: 3426–3434.

    Article  MathSciNet  Google Scholar 

  2. J. Maselko and H. L. Swinney, A Farey triangle in the belousov-zhabotinskii reaction, Physical Letter A, 1987, 119: 403–406.

    Article  MathSciNet  Google Scholar 

  3. J. Q. Fang, Generalized farey organization and generalized winding number in a 2-D DDDS, Physical Letter A, 1990, 146: 35–44.

    Article  Google Scholar 

  4. O. Calvo, J. H. E. Cartwright, D. L. Gonzalez, et al., Three-frequency resonances in coupled phase-locked loops, Circuits and Systems I: Fundamental Theory and Applications, IEEE Transactions, 2000, 47(4): 491–497.

    Article  Google Scholar 

  5. J. Q. Fang, X. F. Wang, Z. G. Zheng, et al., New interdisciplinary science: Network science (I), Progress in Physics, 2007, 27(3): 239–343.

    Google Scholar 

  6. J. Q. Fang, X. F. Wang, Z. G. Zheng, et al., New interdisciplinary science: Network science (II), Progress in Physics, 2007, 27(4): 361–448.

    Google Scholar 

  7. Z. Oltvai and Barabasi, Life’s complexity pyramid, Science, 2002, 298(5594): 763–764.

    Article  Google Scholar 

  8. J. Q. Fang, Network complexity pyramid with five levels, Int. J. Systems, Control and Communications, 2009, 1(4): 453–477.

    Article  Google Scholar 

  9. J. Q. Fang, Briefly review on complex network pyramid and their universality-complexity, in Proceedings of CCAST (WL) Workshop Series: Forth National Forum on Network Science and Graduate Student Summer School (ed. by J. Q. Fang), CCAST, Beijing, 2008, 191: 204–221.

    Google Scholar 

  10. J. Q. Fang and Y. Li, One kind of network complexity pyramid with universality and diversity, in Complex 2009 (ed. by J. Zhou), Part I, LNICST, 2009, 4: 78–89.

  11. J. Q. Fang, X. F. Wang, and Z. G. Zheng, Dynamical complexity of nonlinear networks, Progress in Physics, 2007, 29(1): 1–74.

    Google Scholar 

  12. M. E. J. Newman, Assortative mixing in networks, Physical Review Letters, 2002, 89: 208701.

    Article  Google Scholar 

  13. J. Q. Fang and Y. Liang, Topological properties and transition features generated by a new hybrid preferential model, Chinese Physics Letters, 2005, 22: 2719–2722.

    Article  Google Scholar 

  14. J. Q. Fang, Q. Bi, and Y. Li, Toward a harmonious unifying hybrid model for any evolving complex networks, Advances in Complex Systems, 2007, 10(2): 117–141.

    Article  MATH  Google Scholar 

  15. J. Q. Fang, Q. Bi, Y. Li, et al., A harmonious unifying preferential network model and its universal properties for complex dynamical network, Science in China Series G, 2007, 3(2): 230–249.

    Google Scholar 

  16. J. Q. Fang, Q. Bi, Y. Li, et al., A harmonious unifying preferential network model and its universal properties for complex dynamical network, Science in China Series G, 2007, 50(3): 379–396.

    Google Scholar 

  17. J. Q. Fang, Q. Bi, Y. Li, et al., Sensitivity of exponents of three-power-laws to hybrid ratio in weighted HUHPM, Chinese Physics Letters, 2007, 24(1): 279–282.

    Article  Google Scholar 

  18. X. B. Lu, X. F. Wang, X. Li, and J. Q. Fang, Topological transition features and synchronizability of a weighted hybrid preferential network, Physica A, 2006, 370: 381–389.

    Article  Google Scholar 

  19. Y. Li, J. Q. Fang, Q. Bi, and Q. Liu, Entropy characteristic on harmonious unifying hybrid preferential networks, Entropy, 2007, 9: 73–82.

    Article  Google Scholar 

  20. Q. Bi and J. Q. Fang, Entropy and HUHPM approach for complex networks, Physica A, 2007, 383: 753–762.

    Article  Google Scholar 

  21. J. Q. Fang, Q. Bi, and Y. Li, From a harmonious unifying hybrid preferential model toward a large unifying hybrid network model, International Journal of Modern Physics B, 2007, 21(30): 5121–5142.

    Article  Google Scholar 

  22. J. Q. Fang, Q. Bi, and Y. Li, Advances in theoretical models of network science, Frontiers of Physics in China, 2007, 1: 109–124.

    Article  Google Scholar 

  23. Y. Li, J. Q. Fang, and Q. Liu, Exploring theoretical model of network science and research progresses, Science & Technology Review, 2007, 25(11): 23–29.

    Google Scholar 

  24. J. Q. Fang, Exploring Theoretical model of network science and research progresses, Science & Technology Review, 2006, 24(12): 67–72.

    Google Scholar 

  25. J. Q. Fang, Theoretical research progress in complexity of complex dynamical networks, Progress in Nature Science, 2007, 17(7): 841–857.

    Google Scholar 

  26. J. Q. Fang, Theoretical research progress in complexity of complex dynamical networks, Progress in Nature Science, 2007, 17(7): 761–774.

    Article  Google Scholar 

  27. J. Q. Fang and Y. Li, Transition features from simplicity-universality to complexity-diversification under the UHNM-VSG, Commun. Theor. Phys., 2010, 53(2): 389–398.

    Article  Google Scholar 

  28. J. Q. Fang, Y. Li, and Q. Bi, Unified hybrid variable speed growth model and transition of topology property, Complex Systems and Complexity Science, 2008, 5(4): 56–65.

    Google Scholar 

  29. J. Q. Fang and Y. Li, Advances in unified hybrid theoretical model of network science, Advances in Mechanics, 2008, 38(6): 663–678.

    Google Scholar 

  30. J. Laherrèrel and D. Sornette, Stretched exponential distributions in nature and economy: Fat tails with characteristic scales, European Physical Journal B, 1998, 2(4): 525–539.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yong Li.

Additional information

This research is supported by the Nature Science Foundation of China under Grand Nos. 70431002, 60874087, 60773120, and 10647001 and the Nature Science Foundation of Beijing under Grand No. 4092040.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Li, Y., Fang, J. & Liu, Q. From unweighted to weighted generalized Farey organized tree and the pyramid networks. J Syst Sci Complex 23, 681–700 (2010). https://doi.org/10.1007/s11424-010-9166-6

Download citation

  • Received:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11424-010-9166-6

Key words

Navigation