García-Pérez Guillermo, Boguñá Marián, Serrano M Ángeles
Departament de Física Fonamental, Universitat de Barcelona, Martí i Franquès 1, 08028 Barcelona, Spain.
Sci Rep. 2015 May 13;5:9714. doi: 10.1038/srep09714.
We prove that complex networks of interactions have the capacity to regulate and buffer unpredictable fluctuations in production events. We show that non-bursty network-driven activation dynamics can effectively regulate the level of burstiness in the production of nodes, which can be enhanced or reduced. Burstiness can be induced even when the endogenous inter-event time distribution of nodes' production is non-bursty. We find that hubs tend to be less susceptible to the networked regulatory effects than low degree nodes. Our results have important implications for the analysis and engineering of bursty activity in a range of systems, from communication networks to transcription and translation of genes into proteins in cells.
我们证明,复杂的相互作用网络有能力调节和缓冲生产事件中不可预测的波动。我们表明,非突发性的网络驱动激活动态可以有效地调节节点生产中的突发性水平,该水平可以增强或降低。即使节点生产的内源性事件间时间分布是非突发性的,也能诱导出突发性。我们发现,枢纽节点往往比低度节点更不易受到网络调节效应的影响。我们的结果对于一系列系统中突发性活动的分析和工程设计具有重要意义,这些系统涵盖从通信网络到细胞中基因转录和翻译成蛋白质的过程。