Taxonomies of NetworksThe study of networks has grown into a substantial interdisciplinary endeavour that encompasses myriad disciplines in the natural, social, and information sciences. Here we introduce a framework for…Jukka-Pekka Onnela, Daniel J. Fenn, Stephen Reid et al.·Jun 29, 2010SaveLearn
Modeling s-t Path Availability to Support Disaster Vulnerability Assessment of Network InfrastructureThe maintenance of system flow is critical for effective network operation. Any type of disruption to network facilities (arcs/nodes) potentially risks loss of service, leaving users without access…Timothy C. Matisziw, Alan T. Murray·Jun 26, 2010SaveLearn
Component Ratios of Independent and Herding Betters in a Racetrack Betting MarketWe study the time series data of the racetrack betting market in the Japan Racing Association (JRA). As the number of votes t increases, the win bet fraction x(t) converges to the final win bet…Shintaro Mori, Masato Hisakado·Jun 24, 2010SaveLearn
NetzCope: A Tool for Displaying and Analyzing Complex NetworksNetworks are a natural and popular mechanism for the representation and investigation of a broad class of systems. But extracting information from a network can present significant challenges. We…Michael J. Barber, Ludwig Streit, Oleg Strogan·Jun 22, 2010SaveLearn
Algorithm for Sector Spectra Calculation from Images Registered by the Spectral Airglow Temperature ImagerThe Spectral Airglow Temperature Imager is an instrument, specially designed for investigation of the wave processes in the Mesosphere-Lower Thermosphere. In order to determine the kinematic…Atanas Marinov Atanassov·Jun 17, 2010SaveLearn
Generation of Noise Time Series with arbitrary Power SpectrumNoise simulation is a very powerful tool in signal analysis helping to foresee the system performance in real experimental situations. Time series generation is however a hard challenge when a robust…M. Carrettoni, O. Cremonesi·Jun 16, 2010SaveLearn
Spreading Dynamics Following Bursty Human Activity PatternsWe study the susceptible-infected model with power-law waiting time distributions P(τ) τ-α, as a model of spreading dynamics under heterogeneous human activity patterns. We found that the…Byungjoon Min, K. -I. Goh, Alexei Vazquez·Jun 14, 2010SaveLearn
Zipf's Law for All the Natural Cities in the United States: A Geospatial PerspectiveThis paper provides a new geospatial perspective on whether or not Zipf's law holds for all cities or for the largest cities in the United States using a massive dataset and its computing. A…Bin Jiang, Tao Jia·Jun 4, 2010SaveLearn
Differential influence of instruments in nuclear core activity evaluation by data assimilationThe global activity fields of a nuclear core can be reconstructed using data assimilation. Data assimilation allows to combine measurements from instruments, and information from a model, to evaluate…Bertrand Bouriquet, Jean-Philippe Argaud, Patrick Erhard et al.·Jun 4, 2010SaveLearn
Robustness of nuclear core activity reconstruction by data assimilationWe apply a data assimilation techniques, inspired from meteorological applications, to perform an optimal reconstruction of the neutronic activity field in a nuclear core. Both measurements, and…Bertrand Bouriquet, Jean-Philippe Argaud, Patrick Erhard et al.·Jun 4, 2010SaveLearn
A Better Definition of the KilogramThis article reviews several recent proposed redefinitions of the kilogram, and compares them with respect to practical realizations, uncertainties (estimated standard deviations), and educational…Theodore P. Hill, Ronald F. Fox, Jack Miller·May 27, 2010SaveLearn
How to Combine Independent Data Sets for the Same QuantityThis paper describes a recent mathematical method called conflation for consolidating data from independent experiments that are designed to measure the same quantity, such as Planck's constant…Theodore P. Hill, Jack Miller·May 27, 2010SaveLearn
Quantifying long-range correlations in complex networks beyond nearest neighborsWe propose a fluctuation analysis to quantify spatial correlations in complex networks. The approach considers the sequences of degrees along shortest paths in the networks and quantifies the…Diego Rybski, Hernán D. Rozenfeld, Jürgen P. Kropp·May 20, 2010SaveLearn
Detecting communities of triangles in complex networks using spectral optimizationThe study of the sub-structure of complex networks is of major importance to relate topology and functionality. Many efforts have been devoted to the analysis of the modular structure of networks…Belkacem Serrour, Alex Arenas, Sergio Gomez·May 20, 2010SaveLearn
Record-breaking temperatures reveal a warming climateWe present a mathematical analysis of records drawn from independent random variables with a drifting mean. To leading order the change in the record rate is proportional to the ratio of the drift…Gregor Wergen, Joachim Krug·May 18, 2010SaveLearn
Scaled unscented transform Gaussian sum filter: theory and applicationIn this work we consider the state estimation problem in nonlinear/non-Gaussian systems. We introduce a framework, called the scaled unscented transform Gaussian sum filter (SUT-GSF), which combines…Xiaodong Luo, Irene M. Moroz, Ibrahim Hoteit·May 15, 2010SaveLearn
Reply to "Comment on 'Ensemble Kalman filter with the unscented transform'"This is a reply to the comment of Dr Sakov on the work "Ensemble Kalman filter with the unscented transform" of Luo and Moroz (2009).Xiaodong Luo, Irene M. Moroz, Ibrahim Hoteit·May 15, 2010SaveLearn
Trial factors for the look elsewhere effect in high energy physicsWhen searching for a new resonance somewhere in a possible mass range, the significance of observing a local excess of events must take into account the probability of observing such an excess…Eilam Gross, Ofer Vitells·May 11, 2010SaveLearn
Filter banks and the "Intensity Analysis" of EMGVinzenz von Tscharner (2000) has presented an interesting mathematical method for analyzing EMG-data called "intensity analysis" (EMG = electromyography). Basically the method is a sort of…Frank Borg·May 5, 2010SaveLearn
The Significant Digit Law in Statistical PhysicsThe occurrence of the nonzero leftmost digit, i.e., 1, 2, ..., 9, of numbers from many real world sources is not uniformly distributed as one might naively expect, but instead, the nature favors…Lijing Shao, Bo-Qiang Ma·May 5, 2010SaveLearn
Detecting the Most Unusual Part of Two and Three-dimensional Digital ImagesThe purpose of this paper is to introduce an algorithm that can detect the most unusual part of a digital image in probabilistic setting. The most unusual part of a given shape is defined as a part…Kostadin Koroutchev, Elka Korutcheva·May 3, 2010SaveLearn
Nested Sampling with Constrained Hamiltonian Monte CarloNested sampling is a powerful approach to Bayesian inference ultimately limited by the computationally demanding task of sampling from a heavily constrained probability distribution. An effective…M. J. Betancourt·May 2, 2010SaveLearn
Multifractal Network GeneratorWe introduce a new approach to constructing networks with realistic features. Our method, in spite of its conceptual simplicity (it has only two parameters) is capable of generating a wide variety of…G. Palla, L. Lovasz, T. Vicsek·Apr 29, 2010SaveLearn
Sigma web interface for reactor data applicationsWe present Sigma Web interface which provides user-friendly access for online analysis and plotting of the evaluated and experimental nuclear reaction data stored in the ENDF-6 and EXFOR formats. The…B. Pritychenko, A. A. Sonzogni·Apr 28, 2010SaveLearn
Missing and spurious interactions and the reconstruction of complex networksNetwork analysis is currently used in a myriad of contexts: from identifying potential drug targets to predicting the spread of epidemics and designing vaccination strategies, and from finding…R. Guimera, M. Sales-Pardo·Apr 27, 2010SaveLearn