次线性控制与核心网络
Sublinear Domination and Core-Periphery Networks
摘要：
本文设计了一个具有核心-外围性质的生成式随机网络模型，其核心节点充当次线性支配者，即如果网络中有$n$节点，则核心节点的大小为$o(n)$，并支配整个网络.我们表明，该模型产生的实例呈现幂律度分布，并结合小世界现象。我们还将我们的模型适用于各种现实世界的网络。
英文摘要：
In this paper we devise a generative random network model with core-periphery properties whose core nodes act as sublinear dominators, that is, if the network has $n$ nodes, the core has size $o(n)$ and dominates the entire network. We show that instances generated by this model exhibit power law degree distributions, and incorporates small-world phenomena. We also fit our model in a variety of real-world 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。
