This paper initiates a discussion on the application of the graph signal processing to
exploration of complex and heterogeneous data and systems, and especially for the case of …

The fractal property is considered as the third fundamental property of complex networks; its
research has both rich theoretical value and practical significance. This paper reviews the …

The ubiquity of supply chains along with their increasingly interconnected structure has
ignited interest in studying supply chain networks through the lens of complex adaptive …

Complex networks can model a wide range of complex systems in nature and society, and
many algorithms (network generators) capable of synthesizing networks with few and very …

The dependency property and self-recovery of failure nodes both have great effects on the
robustness of networks during the cascading process. Existing investigations focused mainly …

The fractal nature of complex networks has received a great deal of research interest in the
last two decades. Similarly to geometric fractals, the fractality of networks can also be …

It is widely believed that fractality of complex networks originate from hub repulsion
behaviors (anticorrelation or disassortativity), which means that large degree nodes tend to …

Graph clustering has received considerable attention recently, and its applications are
numerous, ranging from the detection of social communities to the clustering of computer …

摘要当前建模社区无标度网络的研究多基于组合法, 即先构造无标度特征再构造社区特征,
或者先构造社区特征再构造无标度特征. 基于组合法的模型能生成令人满意的社区无标度网络 …

In the emerging field of network science, a recent model proposes that a hyperbolic
geometry underlies the network representation of complex systems, shaping their topology …