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In this paper, from a perspective of complex network, we investigate the international trade and investment for more than 200 countries from 2001 to 2010. Through analyzing the topological properties, we find that the average partner numbers for both trade and investment are increasing year by year, and the average volume has a significant decrease in 2008 for investment and 2009 for trade. Although...
In this paper, we investigate the dynamics of Chinese stock market from a complex network perspective, based on daily fluctuations of all stocks during 1906 working day period from 2005 to 2012. In the network being constructed, each node is a stock, and each edge indicates the time correlation coefficient of two stocks over a window of T days. The network evolves chronologically as the window slides...
During the past several decades, various Online Social Networks (OSNs) have experienced a huge development and have given rise to many related studies. However, the huge size of OSNs brings many difficulties to researchers and kinds of sampling methods have been used to get a relatively small but representative sample. Although some traditional sampling methods (e.g. Random Walk and its several improved...
We develop a simple yet effective model to study the effects of migration on the evolution of fairness in the spatial ultimatum game in dependence on the population density. The evolution of fairness is first studied with different population densities whenever migration is absent. We find that sparsity may not favor the evolution of fairness in the population except a very small specific region of...
The global pinning synchronization problem for a class of complex networks with Lur'e-type node dynamics and directed switching network topology has been studied in this paper. The network topology is assumed to switch over a finite set of directed topology candidates under a positive dwell time. The scheme for achieving synchronization engaged in this paper consists of two steps. The first step is...
In recent years, our understanding of complex networks has improved. Community structure as a common characteristic of complex networks has become an important direction in the study of complex networks. Meanwhile, people put forward many community detection algorithms. To original Largest Fitness Measure algorithm, the selection of seed node is random, community division needs to be improved, and...
To identify the structure of networks is essential for analysis of complex networks. This paper transforms network reconstruction to be a signal recovery problem by means of compressive sensing. In the literature, the sensing matrix is determined by the network dynamic and measured states of nodes, which might violates the restriction on the coherence of the sensing matrix for exact recovery. This...
One of the most important work to analyze networks is community detection. We present a dynamic community discovery method based on Visibility Graph. Firstly, we put forward related definitions of Visibility Graph for multi-dimensional time series. Then, we present algorithms to describe how to use Visibility Graph in finding communities in complex networks. Finally, we present algorithms to find...
In this paper, topology inference of complex dynamical networks with coupling delay and stochastic perturbations is considered. Based on the LaSalle-type theorems for stochastic differential delay equations, an adaptive estimation strategy is proposed to infer the underlying topology of a general delayed complex dynamical network by constructing an auxiliary network. It is worth noting that the unknown...
Whether the sampling subnets can accurately represent the topology and dynamics of the original networks is an important research topic. To improve the quality of network sampling, this paper attempts to convert the complex network sampling process to an optimization problem, and proposes a novel sampling algorithm which is based on Particle Swarm Optimization (PSO). Exponent of power-law degree distribution...
In this paper, we investigate lag synchronization problem of complex dynamical network with noise coupling. Based on the theory of stochastic differential equations, we obtain the sufficient conditions about lag synchronization of complex network with noise coupling. The theoretical results show that lag synchronization could be achieved via white-noise-based coupling. Finally, numerical simulations...
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