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Search Results: 1 - 10 of 14246 matches for " Zhesi Shen "
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Robust Reconstruction of Complex Networks from Sparse Data
Xiao Han,Zhesi Shen,Wen-Xu Wang,Zengru Di
Computer Science , 2015, DOI: 10.1103/PhysRevLett.114.028701
Abstract: Reconstructing complex networks from measurable data is a fundamental problem for understanding and controlling collective dynamics of complex networked systems. However, a significant challenge arises when we attempt to decode structural information hidden in limited amounts of data accompanied by noise and in the presence of inaccessible nodes. Here, we develop a general framework for robust reconstruction of complex networks from sparse and noisy data. Specifically, we decompose the task of reconstructing the whole network into recovering local structures centered at each node. Thus, the natural sparsity of complex networks ensures a conversion from the local structure reconstruction into a sparse signal reconstruction problem that can be addressed by using the lasso, a convex optimization method. We apply our method to evolutionary games, transportation and communication processes taking place in a variety of model and real complex networks, finding that universal high reconstruction accuracy can be achieved from sparse data in spite of noise in time series and missing data of partial nodes. Our approach opens new routes to the network reconstruction problem and has potential applications in a wide range of fields.
Structural Dissection for Controlling Complex Networks
Wen-Xu Wang,Zhesi Shen,Chen Zhao,Yang-Yu Liu,Ying-Cheng Lai
Physics , 2015,
Abstract: Controlling complex networked systems has been a central goal in different fields and understanding controllability of complex networks has been at the forefront of contemporary science. Despite the recent progress in the development of controllability theories for complex networks, we continue to lack efficient tools to fully understand the effect of network topology and interaction strengths among nodes on controllability. Here we establish a framework to discern the significance of links and nodes for controlling general complex networks in a simple way based on local information. A dissection process is offered by the framework to probe and classify nodes and links completely, giving rise to a criterion for strong structural controllability. Analytical results indicate phase transitions associated with link and node categories, and strong structural controllability. Applying the tools to real networks demonstrate that real technological networks are strong structurally controllable, whereas most of real social and biological networks are not. Moreover, real networks are flexible to be controlled because of many options of driver nodes, and real directed and undirected networks shows essential difference with respect node classification.
Reconstructing propagation networks with natural diversity and identifying hidden sources
Zhesi Shen,Wen-Xu Wang,Ying Fan,Zengru Di,Ying-Cheng Lai
Computer Science , 2014, DOI: 10.1038/ncomms5323
Abstract: Our ability to uncover complex network structure and dynamics from data is fundamental to understanding and controlling collective dynamics in complex systems. Despite recent progress in this area, reconstructing networks with stochastic dynamical processes from limited time series remains to be an outstanding problem. Here we develop a framework based on compressed sensing to reconstruct complex networks on which stochastic spreading dynamics take place. We apply the methodology to a large number of model and real networks, finding that a full reconstruction of inhomogeneous interactions can be achieved from small amounts of polarized (binary) data, a virtue of compressed sensing. Further, we demonstrate that a hidden source that triggers the spreading process but is externally inaccessible can be ascertained and located with high confidence in the absence of direct routes of propagation from it. Our approach thus establishes a paradigm for tracing and controlling epidemic invasion and information diffusion in complex networked systems.
Locating the source of spreading in complex networks
Zhesi Shen,Shinan Cao,Ying Fan,Zengru Di,Wen-Xu Wang,H. Eugene Stanley
Computer Science , 2015,
Abstract: Locating the sources that trigger a dynamical process is a fundamental but challenging problem in complex networks, ranging from epidemic spreading in society and on the Internet to cancer metastasis in the human body. An accurate localization of the source is inherently limited by our ability to simultaneously access the information of all nodes in a large-scale complex network, such as the time at which each individual is infected in a large population. This thus raises two critical questions: how do we locate the source from incomplete information and can we achieve full localization of sources at any possible location from a given set of observers. Here we develop an efficient algorithm to locate the source of a diffusion-like process and propose a general locatability condition. We test the algorithm by employing epidemic spreading and consensus dynamics as typical dynamical processes and apply it to the H1N1 pandemic in China. We find that the sources can be precisely located in arbitrary networks insofar as the locatability condition is assured. Our tools greatly improve our ability to locate the source of diffusion in complex networks based on limited accessibility of nodal information. Moreover they have implications for controlling a variety of dynamical processes taking place on complex networks, such as inhibiting epidemics, slowing the spread of rumors, and eliminating cancer seed cells in the human body.
Interrelations among scientific fields and their relative influence revealed by input-output analysis
Zhesi Shen,Liying Yang,Jiansuo Pei,Menghui Li,Chensheng Wu,Jianzhang Bao,Tian Wei,Zengru Di,Ronald Rousseau,Jinshan Wu
Physics , 2015,
Abstract: In this paper, we try to answer two questions about any given scientific discipline: First, how important is each subfield and second, how does a specific subfield influence other subfields? We modify the well-known open-system Leontief Input-Output Analysis in economics into a closed-system analysis focusing on eigenvalues and eigenvectors and the effects of removing one subfield. We apply this method to the subfields of physics. This analysis has yielded some promising results for identifying important subfields (for example the field of statistical physics has large influence while it is not among the largest subfields) and describing their influences on each other (for example the subfield of mechanical control of atoms is not among the largest subfields cited by quantum mechanics, but our analysis suggests that these fields are strongly connected). This method is potentially applicable to more general systems that have input-output relations among their elements.
ARIMA Model in the Application of Shanghai and Shenzhen Stock Index  [PDF]
Shichang Shen, Yue Shen
Applied Mathematics (AM) , 2016, DOI: 10.4236/am.2016.73016
Abstract: In the paper, based on the data of Shanghai and Shenzhen 300 stock index in 2011, the ARIMA model was established by using Eviews 6, and the historical trend of stock price was found out. The model was used to provide a reference for the investors.
Understanding the Determinants of Consumers’ Willingness to Pay for Eco-Labeled Products: An Empirical Analysis of the China Environmental Label  [PDF]
Junyi Shen
Journal of Service Science and Management (JSSM) , 2012, DOI: 10.4236/jssm.2012.51011
Abstract: This study applies data from a web-based survey conducted in mainland China to examine the determinants of consumers’ willingness to pay (WTP) for seven different product categories awarded with China Environmental Label and com- pare the mean WTP estimates among these categories. The Interval Regression method is used for estimation. The results indicate that Chinese consumers who regard environmental conservation as being more important than life convenience, who believe purchasing the eco-labeled products is good for the environment, and who have the experience in purchasing eco-labeled products are willing to pay more for those products with environmental label or eco-label. In addition, socio-demographic characteristics such as gender, age, education and household income are found to be important factors to affect Chinese consumers’ WTP amounts. Finally, the results of pair-wise comparison among the mean WTP estimates of various eco-labeled products indicate that most of them are different, which implies that the degrees of Chinese consumers’ willingness to pay extra money for China Environmental Label are different based on the types of products.
Study on Supply Chain Cooperative Games between Airport and Cargo Airways within International Air-Transport Hub  [PDF]
Danyang Shen
Journal of Service Science and Management (JSSM) , 2012, DOI: 10.4236/jssm.2012.51007
Abstract: Speed economy, proposed by Japanese scholars Masaki Tamura, refers to get the cost savings flow by accelerating the transaction process [1], which brings the a large market space to the cargo/express delivery industry [2]. Due to the rapidly growth of China air cargo/express market and the ongoing increasingly opening up of the sky, inter-national cargo/express giants have set up their hubs in China. The arrival of these global logistics integrators has brought a lot of influence to the development of airport. Hereinto, the unbalance between the scales of China cargo hubs and the rapid demand of air cargo/express development, the cooperation model of airports and air cargo/express have become the most urgently issue to explore. Therefore, on the basis of airport and airway co-competition analysis, the characteristics of the air cargo supply chain, and the airports and cargo airlines supply chain behavior, this paper will use the non-co- operative game of principal-agent model and the cooperative game model to analysis the revenue distribution of airport and cargo airway on the supply chain, this paper applies the cooperative game theory within a supply chain to analyze the cooperation model of airports and air cargo/express, so as to makes strategy suggestions on airport development.
The Economic Relations between China and Thailand under the Context of CAFTA: An Assessment  [PDF]
Shen Hongfang
Chinese Studies (ChnStd) , 2013, DOI: 10.4236/chnstd.2013.21008
Abstract:
The bilateral economic relations betweenChinaandThailandhave unprecedentedly increased since the signing of China-ASEAN Free Trade Agreement (CAFTA). This paper describes the rapid economic relations between China and Thailand from the perspectives of bilateral trade and investment as well as other forms of economic cooperation within the latest one decade, and elaborates the spectacular features of Sino-Thai bilateral economic ties in comparison with ASEAN as a whole and the other ASEAN member countries. In addition to explore the driving factors in boosting these two countries’ economic relations, the paper also explores the problems that exists since the two countries’ economic exchanges are as matter of fact under a framework of “South to South” type that embrace inevitably the week pointes such as lacking of complementarities and the others, the effect of free trade pact of “earlier heaviest” concluded by Sino-Thai government since 2003 as an experimental arrangement of CAFTA will be revaluated.
Simulation of Unsteady Water Film Flow on Pelton Bucket  [PDF]
Shen Na
Energy and Power Engineering (EPE) , 2013, DOI: 10.4236/epe.2013.54B010
Abstract: In order to simulate the complicated unsteady flow in Pelton bucket, it is necessary to apply the animated cartoon approach. In this paper, a free jet and the inner surface of a bucket is described by boundary fitted grid (BFG) with non-orthogonal curvilinear coordinates. The water flow is discretized in space and time for CFD (computational fluid dynamics). The moving grids of water film are successfully projected onto the bucket’s inner surface by a projection algorithm. The visualization result of the jet landing on bucket’s surface and the unsteady flow in the rotating buckets in 3D verifies the effectiveness of the proposed method.
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