社区内和社区间同步的竞争
Competition between Intra-community and Inter-community Synchronization
摘要：
本文详细研究了外部链接对社区网络同步性能的影响，特别是对单个社区与整个网络竞争的影响。本研究从外部链接的数量或比例以及不同社区之间外部链接的连接策略两个方面展开。研究发现，在临界点之前，增加外部链接的数量会提高社区的全局同步性，但会降低单个社区的同步性能。在此之后，由于社区结构不那么突出，因此单个社区作为整个网络的一部分会越来越好地同步。在各种连接策略中，随机连接不同社区的节点而不是连接度较大的节点是增强网络全局同步的最有效方法。然而，一个优惠的连接方案，连接大多数的枢纽从社区将允许相当有效的全球同步，同时保持强大的动态集群的社区。有趣的是，这些观察结果被发现与猫皮层的现实网络有关。同步状态正好处于临界点，体现了个体社区功能分离和社区间协调的合理组合。我们的工作揭示了模块化架构在真实网络系统中出现的基本原理，并为社区网络中的同步操作提供了指导。
英文摘要：
In this paper the effects of external links on the synchronization performance of community networks, especially on the competition between individual community and the whole network, are studied in detail. The study is organized from two aspects: the number or portion of external links and the connecting strategy of external links between different communities. It is found that increasing the number of external links will enhance the global synchronizability but degrade the ynchronization performance of individual community before some critical point. After that the individual community will synchronize better and better as part of the whole network because the community structure is not so prominent. Among various connection strategies, connecting nodes belonging to different communities randomly rather than connecting nodes with larger degrees is the most efficient way to enhance global synchronization of the network. However, a preferential connection scheme linking most of the hubs from the communities will allow rather efficient global synchronization while maintaining strong dynamical clustering of the communities. Interestingly, the observations are found to be relevant in a realistic network of cat cortex. The synchronization state is just at the critical point, which shows a reasonable combination of segregated function in individual communities and coordination among them. Our work sheds light on principles underlying the emergence of modular architectures in real network systems and provides guidance for the manipulation of synchronization in community networks.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
