论文标题
多优化大规模网络结构的无效模型
Null models for multi-optimized large-scale network structures
论文作者
论文摘要
我们研究了受选择性压力的网络中新出现的大规模结构，这些压力同时朝着更高的模块化和鲁棒性，以防止随机失败。我们构建了最大 - 内向零模型，该模型将关节优化对网络结构的影响隔离到任何类型的进化动力学。我们的分析揭示了优化结构的丰富相图，该结构由模块化，核心局部和两部分模式的许多组合组成。此外，我们观察到参数区域，其中同时优化可以是协同或对抗的，分别可以直接辅助或阻碍另一个标准或阻碍另一个标准。我们的结果表明，不同选择压力之间的相互作用在确定新兴网络结构时如何保持关键，并且可以通过简单的网络模型捕获这些交互。
We study the emerging large-scale structures in networks subject to selective pressures that simultaneously drive towards higher modularity and robustness against random failures. We construct maximum-entropy null models that isolate the effects of the joint optimization on the network structure from any kind of evolutionary dynamics. Our analysis reveals a rich phase diagram of optimized structures, composed of many combinations of modular, core-periphery and bipartite patterns. Furthermore, we observe parameter regions where the simultaneous optimization can be either synergistic or antagonistic, with the improvement of one criterion directly aiding or hindering the other, respectively. Our results show how interactions between different selective pressures can be pivotal in determining the emerging network structure, and that these interactions can be captured by simple network models.
