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In the study of complex networks, identifying important nodes in propagation contributes a lot to the control of diffusion. Since real-world networks are often closely interacted, it seems promising to generalize the ranking algorithms of nodes to multi-layer networks. In this paper, the iterative resource allocation method is extended to interconnected networks for the identification of influential...
Prediction of protein special structural plays a significant role to better recognize the protein folding patterns. Multiple prediction methods may be used to predict the structures based on the information of sequences and biostatistics. The accuracy, nevertheless, is strongly affected by the efficiency of classification, the robustness of model and other factors. In our research, flexible neutral...
Depth camera such as Microsoft Kinect, is much cheaper than conventional 3D scanning devices, and thus it can be acquired for everyday users easily. However, the depth data captured by Kinect over a certain distance is of extreme low quality. In this paper, we present a novel scanning system for capturing 3D full human body models by using multiple Kinects. To avoid the interference phenomena, we...
It is well known that in Barrat-Barthélemy-Vespignani (BBV) model, the rearrangement of weights is local. In this paper, we present a novel weighted evolving network model that allows the flows to be widely updated. This model gives power-law distributions of degree, weight and strength, as confirmed in many real networks. Particularly, the exponents are nonuniversal and depend on a parameter that...
The main objective of this paper is to analyze the relationships among China civil aviation industry market structure, regulation system, property right structure and civil aviation performance. Relative data of China civil aviation from 1986 to 2007 has been used in this paper. The research tries to explore that how three important variables including market structure, regulation system and property...
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