Structure properties and synchronizability of cobweb-like networks

The cobweb-like network was constructed, and its structure properties and synchronizability were studied by numerical simulation and probability theory. For cobweb-like networks, the behaviors of structure properties with the adding probability are similar to those for the small-world network. However, the properties of cobweb-like networks also distinctly depend on the spoke–ring ratio r. With increasing r, the average path length decreases, and the average clustering coefficient increases. Simultaneously, the connectivity distribution becomes heterogeneous. Moreover, in the case of bounded synchronized region, the synchronizability shows complicated behaviors with r, and is enhanced favorably at r=2.28 with homogeneous load distribution. The reason is that homogeneous load distribution has an advantage over the communication between oscillators, which efficiently leads to global synchronization. This work could be useful for design and kinetic property research of cobweb-like networks.

[1]  Tao Zhou,et al.  Better synchronizability predicted by a new coupling method , 2006 .

[2]  Xiaofan Wang,et al.  Synchronization in weighted complex networks: Heterogeneity and synchronizability , 2006 .

[3]  Albert,et al.  Emergence of scaling in random networks , 1999, Science.

[4]  M E Newman,et al.  Scientific collaboration networks. I. Network construction and fundamental results. , 2001, Physical review. E, Statistical, nonlinear, and soft matter physics.

[5]  Guanrong Chen,et al.  Subthreshold stimulus-aided temporal order and synchronization in a square lattice noisy neuronal network , 2007 .

[6]  Changsong Zhou,et al.  Universality in the synchronization of weighted random networks. , 2006, Physical review letters.

[7]  Bo Hu,et al.  General dynamics of topology and traffic on weighted technological networks. , 2005, Physical review letters.

[8]  Adilson E. Motter,et al.  Maximum performance at minimum cost in network synchronization , 2006, cond-mat/0609622.

[9]  Tao Zhou,et al.  Enhanced synchronizability via age-based coupling. , 2007, Physical review. E, Statistical, nonlinear, and soft matter physics.

[10]  Zhaosheng Feng,et al.  Synchronization transition in gap-junction-coupled leech neurons , 2008 .

[11]  T. Carroll,et al.  Master Stability Functions for Synchronized Coupled Systems , 1998 .

[12]  Xiang Li,et al.  On synchronous preference of complex dynamical networks , 2005 .

[13]  M. Perc Stochastic resonance on excitable small-world networks via a pacemaker. , 2007, Physical review. E, Statistical, nonlinear, and soft matter physics.

[14]  S. N. Dorogovtsev,et al.  Exactly solvable small-world network , 1999, cond-mat/9907445.

[15]  Z. Shao,et al.  Homogeneity of Load Distribution Plays a Key Role in Global Synchronizability of Complex Networks , 2008 .

[16]  Xiaofan Wang,et al.  On synchronization in scale-free dynamical networks , 2005 .

[17]  Y. Lai,et al.  Abnormal synchronization in complex clustered networks. , 2006, Physical review letters.

[18]  Mark D. Fricker,et al.  Noncircadian oscillations in amino acid transport have complementary profiles in assimilatory and foraging hyphae of Phanerochaete velutina , 2003 .

[19]  Adilson E Motter,et al.  Heterogeneity in oscillator networks: are smaller worlds easier to synchronize? , 2003, Physical review letters.

[20]  S. N. Dorogovtsev,et al.  Evolution of networks , 2001, cond-mat/0106144.

[21]  M. Weigt,et al.  On the properties of small-world network models , 1999, cond-mat/9903411.

[22]  Neil F Johnson,et al.  Effect of congestion costs on shortest paths through complex networks. , 2005, Physical review letters.

[23]  Matjaz Perc,et al.  Local dissipation and coupling properties of cellular oscillators: a case study on calcium oscillations. , 2004, Bioelectrochemistry.

[24]  V. Latora,et al.  Complex networks: Structure and dynamics , 2006 .

[25]  Eugene M. Izhikevich,et al.  Neural excitability, Spiking and bursting , 2000, Int. J. Bifurc. Chaos.

[26]  Sergi Valverde,et al.  Topology and evolution of technology innovation networks. , 2007, Physical review. E, Statistical, nonlinear, and soft matter physics.

[27]  Matjaz Perc,et al.  Synchronization of Regular and Chaotic oscillations: the Role of Local Divergence and the Slow Passage Effect - a Case Study on calcium oscillations , 2004, Int. J. Bifurc. Chaos.

[28]  M E J Newman,et al.  Community structure in social and biological networks , 2001, Proceedings of the National Academy of Sciences of the United States of America.

[29]  Albert-László Barabási,et al.  Statistical mechanics of complex networks , 2001, ArXiv.

[30]  Rami Puzis,et al.  Fast algorithm for successive computation of group betweenness centrality. , 2007, Physical review. E, Statistical, nonlinear, and soft matter physics.

[31]  S. Strogatz Exploring complex networks , 2001, Nature.

[32]  Neil F Johnson,et al.  Interplay between function and structure in complex networks. , 2006, Physical review. E, Statistical, nonlinear, and soft matter physics.

[33]  Duncan J. Watts,et al.  Collective dynamics of ‘small-world’ networks , 1998, Nature.

[34]  Pablo M. Gleiser,et al.  Synchronization and structure in an adaptive oscillator network , 2006 .

[35]  Jürgen Kurths,et al.  Synchronization - A Universal Concept in Nonlinear Sciences , 2001, Cambridge Nonlinear Science Series.

[36]  J. Kurths,et al.  Synchronization of time-delayed systems. , 2007, Physical review. E, Statistical, nonlinear, and soft matter physics.

[37]  Matjaz Perc,et al.  Equality of average and steady-state levels in some nonlinear models of biological oscillations , 2008, Theory in Biosciences.

[38]  Alex Arenas,et al.  Paths to synchronization on complex networks. , 2006, Physical review letters.

[39]  José Halloy,et al.  Emergence of coherent oscillations in stochastic models for circadian rhythms , 2004 .

[40]  J. Wells,et al.  Temporary phosphorus partitioning in mycelial systems of the cord-forming basidiomycete Phanerochaete velutina. , 1998, The New phytologist.

[41]  M. Newman,et al.  Scaling and percolation in the small-world network model. , 1999, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[42]  Beom Jun Kim,et al.  Factors that predict better synchronizability on complex networks. , 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.

[43]  Mark E. J. Newman,et al.  The Structure and Function of Complex Networks , 2003, SIAM Rev..

[44]  Mauricio Barahona,et al.  Synchronization in small-world systems. , 2002, Physical review letters.

[45]  Daizhan Cheng,et al.  Characterizing the synchronizability of small-world dynamical networks , 2004, IEEE Transactions on Circuits and Systems I: Regular Papers.