Optimal transport on supply-demand networksPreviously, transport networks are usually treated as homogeneous networks, that is, every node has the same function, simultaneously providing and requiring resources. However, some real networks,…Yu-Han Chen, Bing-Hong Wang, Li-Chao Zhao et al.·Aug 8, 2009SaveLearn
Geometric and projection effects in Kramers-Moyal analysisKramers-Moyal coefficients provide a simple and easily visualized method with which to analyze stochastic time series, particularly nonlinear ones. One mechanism that can affect the estimation of the…Steven J. Lade·Aug 7, 2009SaveLearn
N-tuple Zipf Analysis and Modeling for Language, Computer Program and DNAn-tuple power law widely exists in language, computer program code, DNA and music. After a vast amount of Zipf analyses of n-tuple power law from empirical data, we propose a model to explain the…Xiaocong Gan, Dahui Wang, Zhangang Han·Aug 4, 2009SaveLearn
Multifractal Detrended Cross-Correlation Analysis of Sunspot Numbers and River Flow FluctuationsWe use the Detrended Cross-Correlation Analysis (DCCA) to investigate the influence of sun activity represented by sunspot numbers on one of the climate indicators, specifically rivers, represented…S. Hajian, M. Sadegh Movahed·Aug 2, 2009SaveLearn
Estimating the selection efficiencyThe measurement of the efficiency of an event selection is always an important part of the analysis of experimental data. The statistical techniques which are needed to determine the efficiency and…Diego Casadei·Aug 2, 2009SaveLearn
Mutually-Antagonistic Interactions in Baseball NetworksWe formulate the head-to-head matchups between Major League Baseball pitchers and batters from 1954 to 2008 as a bipartite network of mutually-antagonistic interactions. We consider both the full…Serguei Saavedra, Scott Powers, Trent McCotter et al.·Jul 30, 2009SaveLearn
Phase transition and information cascade in a voting modelWe introduce a voting model that is similar to a Keynesian beauty contest and analyze it from a mathematical point of view. There are two types of voters-copycat and independent-and two candidates.…Masato Hisakado, Shintaro Mori·Jul 28, 2009SaveLearn
Complex networks in climate dynamics - Comparing linear and nonlinear network construction methodsComplex network theory provides a powerful framework to statistically investigate the topology of local and non-local statistical interrelationships, i.e. teleconnections, in the climate system.…Jonathan F. Donges, Yong Zou, Norbert Marwan et al.·Jul 24, 2009SaveLearn
Dragon-Kings, Black Swans and the Prediction of CrisesWe develop the concept of ``dragon-kings'' corresponding to meaningful outliers, which are found to coexist with power laws in the distributions of event sizes under a broad range of…Didier Sornette·Jul 24, 2009SaveLearn
An iterative, dynamically stabilized method of data unfoldingWe propose a new iterative unfolding method for experimental data, making use of a regularization function. The use of this function allows one to build an improved normalization procedure for Monte…Bogdan Malaescu·Jul 22, 2009SaveLearn
Bayesian Analysis of QENS data: From parameter determination to model selectionThe extraction of any physical information from quasielastic neutron scattering spectra is generally done by fitting a model to the data by means of chi-square minimization procedure. However, as…L. C. Pardo, M. Rovira-Esteva, S. Busch et al.·Jul 21, 2009SaveLearn
Limits, discovery and cut optimization for a Poisson process with uncertainty in background and signal efficiency: TRolke 2.0A C++ class was written for the calculation of frequentist confidence intervals using the profile likelihood method. Seven combinations of Binomial, Gaussian, Poissonian and Binomial uncertainties…J. Lundberg, J. Conrad, W. Rolke et al.·Jul 20, 2009SaveLearn
Quantitative features of multifractal subtleties in time seriesBased on the Multifractal Detrended Fluctuation Analysis (MFDFA) and on the Wavelet Transform Modulus Maxima (WTMM) methods we investigate the origin of multifractality in the time series. Series…Stanislaw Drozdz, Jaroslaw Kwapien, Pawel Oswiecimka et al.·Jul 16, 2009SaveLearn
Effect of user tastes on personalized recommendationIn this paper, based on a weighted projection of the user-object bipartite network, we study the effects of user tastes on the mass-diffusion-based personalized recommendation algorithm, where a…Jian-Guo Liu, Tao Zhou, Qiang Guo et al.·Jul 7, 2009SaveLearn
Degree correlation effect of bipartite network on personalized recommendationIn this paper, by introducing a new user similarity index base on the diffusion process, we propose a modified collaborative filtering (MCF) algorithm, which has remarkably higher accuracy than the…Jian-Guo Liu, Tao Zhou, Zhao-Guo Xuan et al.·Jul 7, 2009SaveLearn
Sampling from naturally truncated power laws: The matchmaking paradoxConsider a network of M >> 1 nodes connected by N >> 1 links, in which the distribution of the number of links per node follows a power law with exponent 0<α<1. The power law is naturally truncated…I. M. Sokolov, I. Eliazar·Jul 1, 2009SaveLearn
Entropic Priors and Bayesian Model SelectionWe demonstrate that the principle of maximum relative entropy (ME), used judiciously, can ease the specification of priors in model selection problems. The resulting effect is that models that make…Brendon J. Brewer, Matthew J. Francis·Jun 30, 2009SaveLearn
Event Reconstruction for a DIRCMonte Carlo simulations were made for a possible DIRC at the WASA detector at COSY. A statistical method for pattern recognition is presented and the possible angle resolution and velocity precision…V. Kyryanchuk, H. Machner, R. Siudak et al.·Jun 30, 2009SaveLearn
Efficient statistical inference for stochastic reaction processesWe address the problem of estimating unknown model parameters and state variables in stochastic reaction processes when only sparse and noisy measurements are available. Using an asymptotic system…Andreas Ruttor, Manfred Opper·Jun 29, 2009SaveLearn
A Q-Ising model application for linear-time image segmentationA computational method is presented which efficiently segments digital grayscale images by directly applying the Q-state Ising (or Potts) model. Since the Potts model was first proposed in 1952,…Frank W. Bentrem·Jun 25, 2009SaveLearn
Understanding the spreading patterns of mobile phone virusesWe model the mobility of mobile phone users to study the fundamental spreading patterns characterizing a mobile virus outbreak. We find that while Bluetooth viruses can reach all susceptible handsets…P. Wang, M. Gonzalez, C. A. Hidalgo et al.·Jun 24, 2009SaveLearn
Super Mario's prison break -- a proposal of object-intelligent-feedback-based classical Zeno and anti-Zeno effectsSuper Mario is imprisoned by a demon in a finite potential well. He can escape from the well with the help of a flight of magic stairs floating in the space. However, the hateful demon may…Shi-Jian Gu·Jun 22, 2009SaveLearn
Granularité laser et interférences de specklesIn this paper we introduce experimentally the phenomenon of speckle and its interferometric applications. With the popularization of CCD sensors and webcams, it is now easy to acquire speckles…Boris Chenaud, Pierre Valvin·Jun 19, 2009SaveLearn
Computational time-reversal imaging with a small number of random and noisy measurementsComputational time reversal imaging can be used to locate the position of multiple scatterers in a known background medium. The current methods for computational time reversal imaging are based on…M. Andrecut·Jun 15, 2009SaveLearn
Entropy correlation distance method applied to study correlations between the Gross Domestic Product of rich countriesThe Theil index is much used in economy and finance; it looks like the Shannon entropy, but pertains to event values rather than to their probabilities. Any time series can be remapped through the…Marcel Ausloos, Janusz Miskiewicz·Jun 12, 2009SaveLearn