Journal of Guangxi Normal University(Natural Science Edition) ›› 2019, Vol. 37 ›› Issue (1): 115-124.doi: 10.16088/j.issn.1001-6600.2019.01.013

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Influence of Average Degree and Scale of Network on Partial Synchronization of Complex Networks

LI Juexuan1,2,ZHAO Ming1*   

  1. 1. College of Physics and Technology, Guangxi Normal University, Guilin Guangxi 541004, China;
    2. Department of Physics and Information Science, Guangxi Science and Technology Normal University, Laibin Guangxi 545004, China
  • Received:2017-11-14 Published:2019-01-08

Abstract: This paper investigates the influence of average degree and scale of network on the partial synchronization state of the complex networks. The research results show that average degree may have effects only when the networks are in partial synchronization states, whether the network model is random network, small-world network or uncorrelated configuration network. Increasing the average degree can improve the partial synchronization state for the three network models. However, this can make the complexity change in completely different ways at different coupling strength regions. As to the network scale, it may have effects on small coupling strength: increasing the network scale may worsen the synchronization state and decrease the complexity. For the nearest-neighbor network, with the increase of average degree, the synchronization state of the whole network may be better and the complexity may be larger; and with the increase of network scale, the synchronization state of the whole network may be worse and the complexity may be smaller. This research makes the partial synchronization state clearer and proposes useful suggestions for the construction of multi-function networks.

Key words: complex networks, average degree, network scale, partial synchronization

CLC Number: 

  • N941.4
[1] ERDOS P, RENYIR A. On random graphs[J]. I Publ Math (Debrecen),1959, 6: 290-297.
[2] ERDOS P, RENYIR A. On the evolution of random graphs[J]. Publ Math Inst Hung Acad Sci,1960, 5: 17.
[3] WATTS D J, STROGATZ S H. Collective dynamics of “small world” networks[J]. Nature,1998,393:440.
[4] BARABÁSI A L, ALBERT R. Emergence of scaling in random networks[J]. Science,1999,286:509.
[5] ARENAS A, DÍAZ-GUILERA A, KURTHS J, et al. Synchronization in complex networks[J]. Phys Rep, 2008, 424: 175.
[6] MAY R M, ANDERSON R M. Infectious diseases of humans: dynamics and control[M]. Oxford: Oxford University Press, 1992.
[7] NOWAK M A. Evolutionary dynamics[M]. Cambridge, MA: Harvard University Press, 2006.
[8] BULDYREV S V, PARSHANI R, PAUL G, et al. Catastrophic cascade of failures in interdependent networks[J]. Nature, 2010, 464: 08932.
[9] PETTER H, JARI S. Temporal networks[J]. Phys Rep, 2012, 519: 97-125.
[10] STAM C J. Nonlinear dynamical analysis of EEG and MEG: review of an emerging field[J]. Clin Neurophysiol, 2005, 116: 2266-2301.
[11] TONONI G, SPORNS O, EDELMAN G M. A measure for brain complexity: relating functional segregation and integration in the nervous system[J]. Proc Natl Acad Sci USA, 1994, 91: 5033-5037.
[12] SPORNS O, TONONI G, EDELMAN G M. Theoretical neuroanatomy: relating anatomical and functional connectivity in graphs and cortical connection matrices[J]. Cereb Cortex, 2000, 10: 127-141.
[13] ZHAO M, ZHOU C, CHEN Y, et al. Complexity versus modularity and heterogeneity in oscillatory networks: Combining segregation and integration in neural systems[J]. Phys Rev E, 2010, 82: 046225.
[14] 赵明,牛亚兰,钟金秀,等. 网络的平均度对复杂网络上动力学行为的影响[J]. 广西师范大学学报(自然科学版),2012,30(3):88-93.
[15] CATANZARO M, BOGUNA M, PASTOR-SATORRAS R. Generation of uncorrelated random scale-free networks[J]. Phys Rev E, 2005, 71: 027103.
[16] WATTS D J. Networks, dynamics, and the small world phenomenon[J]. Am J Sociol, 1999, 105: 493-592.
[17] PECORA L M, CARROLL T L. Masterstability functions for synchronized coupled systems[J]. Phys Rev Lett, 1998, 80: 2109-2112.
[18] KURAMOTO Y. Proceedings of the International Symposium on Mathematical Problems in Theoretical Physics[C]. Berlin: Springer-Verlag, 1975.
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