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(1977). Graph Theory with Applications. Journal of the Operational Research Society: Vol. 28, Volume 28, issue 1, pp. 237-238.

"Complex networks theory have gained wider applicability since methods for transformation of time series to networks were proposed and successfully tested. In the last few years, horizontal visibility graph has become a ...

Motivated by Khovanov homology and relations between the Jones polynomial and graph polynomials, we construct a homology theory for embedded graphs from which the chromatic polynomial can be recovered as the Euler charac...

"There is recent evidence that the core of the Internet, which was formerly dominated by large transit providers, has been reshaped after the transition to a multimedia-oriented network, first by general-purpose CDNs and...

Materias / palabras clave: Modularity (biology); Complex network; Magnetoencephalography; Computer science; Cognitive science; Connectomics; Diffusion MRI; Graph theory; Human brain; Network science; Neuroscience; Neuroimaging

Materias / palabras clave: Aeroelasticity; Wind tunnel; Aerodynamics; Structural engineering; Deck; Nonlinear system; Vibration; Section (typography); Aerodynamic force; Bridge (graph theory); Flutter; Experimental data

Ch. Argyris, D. A. Schön, Organizational Learning: A Theory of Action Perspective, Reis: Revista Española de Investigaciones Sociológicas, No. 77/78, Monográfico sobre la Formación y las Organizaciones (Jan. - Jun.,...

Graphene is the two-dimensional building block for carbon allotropes of every other dimensionality. We show that its electronic structure is captured in its Raman spectrum that clearly evolves with the number of layers. ...

This paper proposes a paradigm for managing the dynamic aspects of organizational knowledge creating processes. Its central theme is that organizational knowledge is created through a continuous dialogue between tacit an...

In this paper, we discuss consensus problems for networks of dynamic agents with fixed and switching topologies. We analyze three cases: 1) directed networks with fixed topology; 2) directed networks with switching topol...

This paper provides a theoretical framework for analysis of consensus algorithms for multi-agent networked systems with an emphasis on the role of directed information flow, robustness to changes in network topology due ...

Interactions become essential in Visualization because they enable users to adapt the visual representation to their own needs allowing them to explore the underlying information space. By using non-conventional devices,...

Preface to the Second Edition. Preface to the First Edition. Acknowledgments for the Second Edition. Acknowledgments for the First Edition. 1. Introduction and Preview. 1.1 Preview of the Book. 2. Entropy, Relative Entro...

Although the problem of determining the minimum cost path through a graph arises naturally in a number of interesting applications, there has been no underlying theory to guide the development of efficient search procedu...

Abstract In the early 1980s, a strategy for graphical representation of multivariate (multi‐species) abundance data was introduced into marine ecology by, among others, Field, et al. (1982). A decade on, it is instruct...

Abstract Principal component analysis (PCA) is a multivariate technique that analyzes a data table in which observations are described by several inter‐correlated quantitative dependent variables. Its goal is to extrac...

This survey provides an overview of higher-order tensor decompositions, their applications, and available software. A tensor is a multidimensional or N-way array. Decompositions of higher-order tensors (i.e., N-way array...

It is suggested that if Guttman’s latent-root-one lower bound estimate for the rank of a correlation matrix is accepted as a psychometric upper bound, following the proofs and arguments of Kaiser and Dickman, then the ...

Materias / palabras clave: Support vector machine; Dimension (graph theory); Generalization; Structural risk minimization; Mathematical proof; Computer science; Kernel (algebra); VC dimension; Separable space; Construct (python library); Polynomia...

A training algorithm that maximizes the margin between the training patterns and the decision boundary is presented. The technique is applicable to a wide variety of the classification functions, including Perceptrons, p...

We present a simple, highly modularized network architecture for image classification. Our network is constructed by repeating a building block that aggregates a set of transformations with the same topology. Our simple ...

Materias / palabras clave: Polygon mesh; Vertex (graph theory); Skeleton (computer programming); Computer science; Lying; Extraction (chemistry); Combinatorics; Mathematics; Theoretical computer science; Computer graphics (images); Graph; Radiolog...

Materias / palabras clave: Hofstede's cultural dimensions theory; Masculinity; Uncertainty avoidance; Dimension (graph theory); Individualism; Human sexuality; Social psychology; Sociology; Identity (music); Psychology; Power (physics); Cultural v...

Systems as diverse as genetic networks or the World Wide Web are best described as networks with complex topology. A common property of many large networks is that the vertex connectivities follow a scale-free power-law ...