INTRODUCTION General anesthesia induces unconsciousness along with functional changes in brain networks. Considering the essential role of hub structures for efficient information transmission, the authors hypothesized that anesthetics have an effect on the hub structure of functional brain networks. METHODS Graph theoretical network analysis was carried out to study the network properties of...

Through a reformulation of energy hubs, this paper presents a novel format for describing general energy hub networks. This format underpins the development of tools for analyzing large-scale interconnected energy hub networks. The tools are developed in MATLAB and seamlessly interface with CPLEX optimization libraries to allow users to quickly implement and solve optimal scheduling problems. O...

based on a fundamental unit that can perform at a very high level of abstraction a multi-level controller and sensor hub that is completely software reconfigurable, including basic and ancillary functionality. In this scheme, each unit can act as a single complex controller as part of a locally controlled mesh, which in turn can be part of a wider distributed or hierarchical control network. Al...

Inclement weather at an airline's hub airport can be devastating to that airline's schedule. The repercussions resonate throughout the airline's network as capacity is reduced, connections are missed, and passengers are delayed on a larger scale than during irregular operations at a spoke airport. The main hypothesis behind the work presented in this thesis is that by shifting a small fraction ...

WGCNA begins with the understanding that the information captured by microarray experiments is far richer than a list of differentially expressed genes. Rather, microarray data are more completely represented by considering the relationships between measured transcripts, which can be assessed by pair-wise correlations between gene expression profiles. In most microarray data analyses, however, ...

A wide variety of real-life networks share two remarkable generic topological properties: scale-free behavior and modular organization, and it is natural and important to study how these two features affect the dynamical processes taking place on such networks. In this paper, we investigate a simple stochastic process--trapping problem, a random walk with a perfect trap fixed at a given locatio...

Hierarchical networks as fundamental models to describe the complex networks, have many applications in science, engineering technology and so on. In this paper, we first propose a new class of hierarchical with fractal structure, which are triangles compared traditional networks. Second, study precise results some structural properties derive small-world effect scale-free feature. Third, it is...

Problem-solving competence at group level is influenced by the structure of the social networks and so it may shed light on the organization patterns of gregarious animals. Here we use an agent-based model to investigate whether the ubiquity of hierarchical networks in nature could be explained as the result of a selection pressure favoring problem-solving efficiency. The task of the agents is ...

In this paper we consider a capacitated single allocation p-hub median problem (CSApHMP) which is to determine the location of p hubs, the allocation of non-hub nodes to hubs in the logistics network. This problem is formulated as an integer programming model with the objective of minimizing the sum of total transportation cost and fixed cost of the selected p hubs. Since the CSApHMP is NP-hard...

In this paper we consider a capacitated single allocation p-hub median problem with multiple capacity levels (CSApHMPMC) in which the decisions are to determine the location of p hubs and their capacity levels, the single allocation of non-hub nodes to hubs in the logistics network. This problem is formulated as an integer programming model with the objective of minimizing the sum of total tran...