... of on randomly selected node within the climate network in the NP (colored online). Proximity effect has been considered by removing the links of geographical distances less than 300 km. (b) Spatial pattern of the net westward network flow within the climate network in the NP. The western and eastern...

... to prevent the disease deterioration. However, it is still a challenging task to detect the critical states of complex diseases with high-dimensional data, especially based on an individual. In this study, we develop a new method based on network fluctuation of molecules, temporal network flow entropy (TNFE...

... on CCSN, we further design network flow entropy (NFE) to estimate the differentiation potency of a single cell. A number of scRNA-seq datasets were used to demonstrate the advantages of our approach. 1) One direct association network is generated for one cell. 2) Most existing scRNA-seq methods designed...

... as a hybrid-intelligent ID System. It was designed to analyse continuous network data at a packet level and is extended in present paper for the analysis of flow-based traffic data. By incorporating clustering techniques to the original proposal, network flows are investigated trying to identify different...

... for the worksites. The key variables in the optimization model involve the starting time of maintenance works during the day, their duration, the duration of the break during the maintenance work and traffic signal controls at the worksite. maintenance planning network flow modelling genetic algorithms...

...Jia Shu; Zhengyi Li; Weijun Zhong Abstract In this paper, we study a multistage production–transportation problem for a make-to-order company with outsourcing options at each stage of production. We formulate the problem as a multi-commodity network flow problem with piecewise linear cost...

... of network flow algorithms which are based on solving a sequence of minimum cost flow problems on appropriately constructed networks with estimated arc costs. We introduce three different schemes for the estimation of the arc costs and we investigate their performance compared with a random neural network...

... B Gardner M R key players disease spread centrality social network analysis network flow graph theory walk structure participation typology network position 334 Social network analysis is blessed with a large number of measures of centrality. We know these are node-level measures...

...This chapter considers the optimal network flow problem, which is a generalization of the optimal assignment problem considered in Chapter 3. In optimal flow problems, one considers a network of cities, or edges, to move a distribution of mass on supply nodes to a distribution of mass on demand...

... of proud and justified superiority. The movement of some commodity between two points on a network can be represented using network flow models. Such models are prevalent in the real world; and the transportation of products over a railroad system is the prototypical example of a network...

... of matrimonial unions. This is the first text to develop clear applications of optimal transport to economic modeling, statistics, and econometrics. It covers the basic results of the theory as well as their relations to linear programming, network flow problems, convex analysis, and computational geometry...