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The degree distribution is an important characteristic in complex networks. In many applications, quantification of degree distribution in the form of a fixed-length feature vector is a necessary step. Additionally, we often need to compare the degree distribution of two given networks and extract the amount of similarity between the two distributions. In this paper, we propose a novel method for...
Network science have constantly been in the focus of research for the last decade, with considerable advances in the controllability of their structural. However, much less effort has been devoted to study that how to improve the controllability of complex networks. In this paper, a new algorithm is proposed to improve the controllability of complex networks by rewiring links regularly which transforms...
Systems as diverse as genetic networks or the World Wide Web are best described as networks with complex topology. A common property of many large networks is that the vertex connectivities follow a scale-free power-law distribution. This feature was found to be a consequence of three generic mechanisms: (i) networks expand continuously by the addition of new vertices, (ii) new vertex with priority...
The characteristics of complex network are studied mostly at small-scale and large-scale, while there is still much to be done at mesoscale. Firstly, by using the comment data of a blog site, an undirected network is built. From the perspective of network topology, it is divided and defined into small-scale (micro-level), mesoscale (community structure) and large-scale (macro-level). According to...
Complex network theory is put forward in following research to analyze the statistical parameters of network business statically in E-commerce area. Empirical Study is based on the data provided by an online shopping website and statistical parameters such as enterprise act degree and clustering coefficient is studied accordingly. Thus we found that E-commerce displays the power law and clustering...
For scale-free networks, traffic flow moving freely on a complex network is important to its normal and efficient functioning. In order to enhance the network efficiency, for a capacity-limited network, in this paper, we propose a new distribution algorithm by introducing an adjustable parameter ?? to control and distribute the delivery capacity of single node dynamically. The simulations reveal that...
Searching in complex networks is different from random and regular networks for existing long range connections and hub nodes. So the research on structure and characters of networks will improve the search speed and lower the load of nodes. Though getting the shortest paths is the best choice, in a real network, it is impossible for a node to get global information. For example, there is not a node...
Supply chain network could be seen as a complex network which consists of lots of suppliers, retailers, consumers and their relations. The structure of complex supply chain network is an important issue. The authors investigated Guangzhou automotive industry supply chain network. This network is formed by 84 enterprises, which Guangzhou Honda, Dongfeng-Nissan and Guangzhou-Toyota are key hubs of the...
Recently, kinds of scaling schemes for general large scale complex networks have been developed and attracted much attention. We propose a new scaling scheme named "two-sites scaling" and investigate how the degree distribution of network changes in applying the proposed scheme to various networks. Notably, the results indicate that networks constructed by BA algorithm behave differently...
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