Big information worlds cause big problems for interfaces. There is too much to see. They are hard to navigate. An armada of techniques has been proposed to present the many scales of information needed. Space-scale diagrams provide an analytic framework for much of this work. By representing both a spatial world and its different magnifications explicitly, the diagrams allow the direct visualiz...

In this paper we consider the influence of transplanckian physics on the CMBR anisotropies produced by inflation. We consider a simple toy model that allows for analytic calculations and argue on general grounds, based on ambiguities in the definition of the adiabatic vacuum, that effects are expected with a magnitude of the order of H/Λ, where H is the Hubble constant during inflation and Λ th...

We investigate by numerical simulations and analytical calculations the Bak-Sneppen model for biological evolution in scale-free networks. By using large scale numerical simulations, we study the avalanche size distribution and the activity time behavior at nodes with different connectivities. We argue the absence of a critical barrier and its associated critical behavior for infinite size syst...

Introduction Data visualization summarizes large volumes of data and represents this data pictorially. Data visualization is used in a wide variety of applications, but visualization techniques that are effective in one application can often be used as well or better in another application. When organizations depend on good data visualization, a unified visualization capability will often incre...

The growth rate of small-scale density inhomogeneities (the entropy production rate) is given by the sum of the Lyapunov exponents in a random flow. We derive an analytic formula for the rate in a flow of weakly interacting waves and show that in most cases it is zero up to the fourth order in the wave amplitude. We then derive an analytic formula for the rate in a flow of waves and currents. E...

The paper dwells on a judgement model for R&D project evaluation using multifactor criteria based on hierarchic considerations. The idea is to employ formal tools in quantification of subjective evaluations where expert judgement is involved. Comparative evaluations on a priority scale are converted to quantities using the eigen vector concept. This is also the essence of the Analytic Hierarchi...

Single-scale quantities, like the QCD anomalous dimensions and Wilson coefficients, obey difference equations. Therefore their analytic form can be determined from a finite number of moments. We demonstrate this in an explicit calculation by establishing and solving large scale recursions by means of computer algebra for the anomalous dimensions and Wilson coefficients in unpolarized deeply ine...

Large-scale data exploration using Big Data platforms requires the orchestration of complex analytic workflows composed of atomic analytic components for data selection, feature extraction, modeling and scoring. In this paper, we propose an approach that uses a combination of planning and machine learning to automatically determine the most appropriate data-driven workflows to execute in respon...

Our entry for the VAST 2012 Mini Challenge #1 consisted of a homegrown visual analytic tool that displays the health and policy status of a large-scale network. By putting ourselves into the shoes of an analyst, we defined key dimensions of the data, and developed visualizations for each of them. Using our tool, we were able to identify several areas of concern within the provided data. We pres...