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A dynamical method to extract communities induced by low or middle-degree nodes

机译:一种提取低度或中度节点诱导的群落的动力学方法

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Many networks are proved to have community structure. Dense communities have been intensively investigated in recent years, oppositely seldom attention has been paid to sparse ones, which refer to those communities induced by low or middle-degree nodes rather than high-degree components. Recently, it has gradually been recognized that sparse community is also an important structure in biological networks because most disease genes and drug targets are within it. In this paper, we propose a dynamical method to extract sparse communities in complex networks by constructing local synchronization properties of phase oscillators. Compared to dense communities, sparse ones provide more general building and functional blocks in the networks without emphasis on the dominance of internal degrees over outside ones as well as the constraints of high degree connectors.
机译:事实证明,许多网络都具有社区结构。近年来,对密集社区进行了深入研究,相反,很少关注稀疏社区,因为稀疏社区指的是由低度或中度节点而不是由高度成分诱导的社区。最近,人们逐渐认识到稀疏社区也是生物网络中的重要结构,因为大多数疾病基因和药物靶标都在其中。在本文中,我们提出了一种通过构造相位振荡器的局部同步特性来提取复杂网络中稀疏社区的动力学方法。与密集社区相比,稀疏社区在网络中提供了更通用的构建和功能块,而没有强调内部度相对于外部度的优势以及高度连接器的约束。

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