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Fault diagnosis of the wind power system is a common problem in the routine maintenance of the wind farm. However, most researches and practical applications focus on separate components, which do not take correlations of different components into consideration. This paper presents a novel two-layer Probabilistic Signed Directed Graph (PSDG) method for the fault diagnosis of the overall wind power...
Due to the fact that Pearson correlation coefficient could not reflect the nonlinear correlation of stock return, this paper uses the tail correlation coefficient to construct the complex network and analyzes the network structure of Chinese stock market. The results show that the network of Chinese stock market shares the small-world and scale-free characteristics, and Hub nodes mainly focus on finance,...
At present, the study of complex networks include the geometric nature of the network, the formation mechanism of the network, the statistical law of the network evolution, the model property on the network, the structure stability of the network, and other issues like network evolution and dynamic mechanics, etc. There into, in the field of natural science, the basic measuring of the network research...
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...
Traditional Chinese Medicine (TCM) is a discipline of clinical medicine, which focuses on individualized diagnosis and treatment based on observation of the clinical manifestations of real-world patients. The complicated interactions between different medical entities play significant role for individualized treatment. In this paper, we aim to find out the meaningful herb-symptom relationship from...
A new threaded-tree immunization method is proposed in this paper. It refers to searching out highly connected nodes in the network to immunize, by querying a random selected initial node to get its neighbors and then do the same thing to these neighbor nodes recursively. We apply the SIS model on it to do some simulation. And a comparison is then made of the threaded-tree strategy with acquaintance...
This paper constructs the annual competitive relationship complex models of Boolean network and weighted network among the logistics enterprises according to the data of the logistics enterprises' locate and turnover from the year 2006 to 2009 in Dongguan, China. Then, the author analyzes network structure properties each year with the different static indexes, and discusses the dynamic mechanism...
In this article, we utilize the research methods of complex network to discuss the inter-province knowledge spillover in China based on paper cooperation from 1980 to 2009. We analyze the topology of the knowledge spillover network by measuring the degree distribution, average path length, clustering coefficient, clustering and degree correlation, and find that the (1)degree distribution is similar...
Peer-to-peer network describes a typical complex network upon which users connect together according to their sharing preference, indicated by the resources they shared. In this article, we apply analytic methods from complex networks theory to investigate the sharing preference of users as well as the correlations between different resource categories in a real peer-to-peer file sharing system, which...
Economics of complex system has been proposed to clarify market mechanism with reality. We formulate market simulation model as discrete resource allocation problem based on the economics of complex systems. Three types of heterogeneous agents are defined in the complex virtual market. Complex network concept is introduced into the market simulation so as to realise social consumer network for information...
The urban bus traffic network is one of the important instance in complex network researches. The robustness of public traffic networks is not only related to the efficiency and capacity of people movement, but also the critical aspects in future urban regulation and design. Traditionally, researches pay more attention to the influence of high-degree vertices (degree of a vertex is the number of other...
In order to picture the complexity of software architecture, class collaboration network is defined to abstract the architecture of object-oriented software on class level. Eclipse is selected as example of object-oriented software, and its class collaboration network is constructed and the degree distribution of the network is analyzed by statistical physics with the conclusion that degree-rank,...
By introducing a triad formation mechanism, a weighted evolving model of complex network is proposed. According to the evolving mechanism, the model gives power-law distributions of degree, weight and strength, as confirmed in many real networks. Our models have been inspired by the weighted network model proposed by BBV, and can be considered as a meaningful development of their original work.
This study used the complex network analysis to examine the brain functional network involved in right finger movements and compare the deferent functional network involved in left finger and right finger movements. We found that (a)the connections change exponentially as distance between nodes change, the function is Gaussian; (b) the distribution of functional connections was scale-free; (c) the...
In this paper, we analyze the characteristics of supply chain network based on the traditional complex network local-world evolving model. Through the study of the characteristics of supply chain network, found that the node uniform arrival process in traditional model is not adapted to the supply chain network model, so we use the Poisson distribution model. Using the correlation degree based on...
This paper presents a novel approach of overlapping communities generation for online support forums. Different from traditional online forums that provide the most similar or relevant information to respond to a user query, the approach proposed in this paper manages online forums and provides user support based on overlapping communities. Inspired by natural societies, a forum is deemed as a complex...
The networks of interdependencies in large-scale software systems are complex, understand and measurement become a key problem for developer. we propose that OO design structure can be quantitative analyzed and better understood via core-shell decomposition based on complex networks. The k-core analysis allows to characterize networks beyond the degree distribution and uncover structural hierarchies...
In this paper, we construct a word association network from DBLP bibliography records and detect its evolution progress based on community discovery algorithm CPM and CPMw. We found that the network is of complex network characteristics, and the detected semantic communities can be classified into two categories: giant community and small community. They differ in size and content, and behave differently...
Based on the theory of complex networks, Internet is regarded as a directed and weighted network, hosts within Internet is defined as a node in network, edge represents packets between hosts. A novel method is presented for monitoring network analogy based on group behavior change. Specifically, we apply our methodology using data collected from a one point of observation where they are campus network...
To construct complex network of the tourism industry in Shandong Province utilizing complex network approaches, to determine the network type and analyze network statistical properties, and to give persuasive proposals towards the development of tourism industry cluster in Shandong. To persuade to master complex network development trend of tourism industry in Shandong Province, to display fully complex...
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