Nishikawa Takashi, Motter Adilson E, Lai Ying-Cheng, Hoppensteadt Frank C
Department of Mathematics, Arizona State University, Tempe, Arizona 85287, USA.
Phys Rev Lett. 2003 Jul 4;91(1):014101. doi: 10.1103/PhysRevLett.91.014101. Epub 2003 Jul 3.
Small-world and scale-free networks are known to be more easily synchronized than regular lattices, which is usually attributed to the smaller network distance between oscillators. Surprisingly, we find that networks with a homogeneous distribution of connectivity are more synchronizable than heterogeneous ones, even though the average network distance is larger. We present numerical computations and analytical estimates on synchronizability of the network in terms of its heterogeneity parameters. Our results suggest that some degree of homogeneity is expected in naturally evolved structures, such as neural networks, where synchronizability is desirable.
众所周知,小世界网络和无标度网络比规则晶格更容易同步,这通常归因于振荡器之间较小的网络距离。令人惊讶的是,我们发现具有均匀连接分布的网络比异质网络更易于同步,尽管平均网络距离更大。我们根据网络的异质性参数给出了关于网络同步性的数值计算和分析估计。我们的结果表明,在自然演化的结构(如神经网络,其中同步性是可取的)中,预计会有一定程度的同质性。