On the Separability of Attractors in Grandmother Dynamic Systems with Structured ConnectivityThe combination of complex networks and dynamic systems research is poised to yield some of the most interesting theoretic and applied scientific results along the forthcoming decades. The present…Luciano da Fontoura Costa·Jan 8, 2007SaveLearn
Operations structure for the management, control and support of the INFN-GRID/Grid.It production infrastructureMoving from a National Grid Testbed to a Production quality Grid service for the HEP applications requires an effective operations structure and organization, proper user and operations support,…Maria Cristina Vistoli, Luciano Gaido, Federico Calzolari·Jan 5, 2007SaveLearn
Spectral transitions in networksWe study the level spacing distribution p(s) in the spectrum of random networks. According to our numerical results, the shape of p(s) in the Erdos-Renyi (E-R) random graph is determined by the…Gergely Palla, Gabor Vattay·Jan 4, 2007SaveLearn
Comment on Wavelet Analysis and scaling properties of time seriesIn a recent work Manimaran et al. [Manimaran et al., Phys. Rev. E 72, 046120 (2005)] propose to use multiresolution Daubechies (DB) wavelets to (detrend) remove the low frequency trends and…R. B. Govindan·Dec 30, 2006SaveLearn
Fluctuations in time intervals of financial data from the view point of the Gini indexWe propose an approach to explain fluctuations in time intervals of financial markets data from the view point of the Gini index. We show the explicit form of the Gini index for a Weibull…Naoya Sazuka, Jun-ichi Inoue·Dec 30, 2006SaveLearn
A mechanism to derive multi-power law functions: an application in the econophysics frameworkIt is generally recognized that economical systems, and more in general complex systems, are characterized by power law distributions. Sometime, these distributions show a changing of the slope in…A. M. Scarfone·Dec 23, 2006SaveLearn
Characterizing and modeling cyclic behavior in non-stationary time series through multi-resolution analysisA method based on wavelet transform and genetic programming is proposed for characterizing and modeling variations at multiple scales in non-stationary time series. The cyclic variations, extracted…Dilip P. Ahalpara, Amit Verma, Prasanta K. Panigrahi et al.·Dec 22, 2006SaveLearn
Mutual Information as a Tool for Identifying Phase Transitions in Dynamical Complex Systems With Limited DataWe use a well known model (T. Vicsek et al. Phys Rev Lett 15, 1226 (1995)) for flocking to test mutual information as a tool for detecting order-disorder transitions, in particular when observations…R. T. Wicks, S. C. Chapman, R. O. Dendy·Dec 20, 2006SaveLearn
On the Combining SignificancesWe present the statistical approach to the combining of signal significances.Sergey Bityukov, Nikolai Krasnikov, Alexander Nikitenko·Dec 18, 2006SaveLearn
The use of cluster quality for track fitting in the CSC detectorThe new particle accelerators and its experiments create a challenging data processing environment, characterized by large amount of data where only small portion of it carry the expected new…Erez Etzion, David Primor, Giora Mikenberg et al.·Dec 13, 2006SaveLearn
Effect of meditation on scaling behavior and complexity of human heart rate variabilityThe heart beat data recorded from samples before and during meditation are analyzed using two different scaling analysis methods. These analyses revealed that mediation severely affects the long…A. Sarkar, P. Barat·Dec 10, 2006SaveLearn
Limits on Relief through Constrained Exchange on Random GraphsAgents are represented by nodes on a random graph (e.g., small world or truncated power law). Each agent is endowed with a zero-mean random value that may be either positive or negative. All agents…Randall A. LaViolette, Lory A. Ellebracht, Charles J. Gieseler·Dec 9, 2006SaveLearn
Topological Properties of the Minimal Spanning Tree in Korean and American Stock MarketsWe investigate a factor that can affect the number of links of a specific stock in a network between stocks created by the minimal spanning tree (MST) method, by using individual stock data listed on…Cheoljun Eom, Gabjin Oh, Seunghwan Kim·Dec 7, 2006SaveLearn
A non-iterative algorithm to estimate the modes of univariate mixtures with well separated componentsThis paper deals with the estimation of the modes of an univariate mixture when the number of components is known and when the component density are well separated. We propose an algorithm based on…Nicolas Paul, Luc Fety, Michel Terre·Dec 7, 2006SaveLearn
Risk evaluation with enhaced covariance matrixWe propose a route for the evaluation of risk based on a transformation of the covariance matrix. The approach uses a `potential' or `objective' function. This allows us to rescale data from…Krzysztof Urbanowicz, Peter Richmond, Janusz A. Holyst·Dec 6, 2006SaveLearn
Topological fractal networks introduced by mixed degree distributionSeveral fundamental properties of real complex networks, such as the small-world effect, the scale-free degree distribution, and recently discovered topological fractal structure, have presented the…Liuhua Zou, Wenjiang Pei, Tao Li et al.·Dec 6, 2006SaveLearn
Optimal Proton Trapping in a Neutron Lifetime ExperimentIn a neutron lifetime experiment conducted at the National Institute of Standards and Technology, protons produced by neutron decay events are confined in a Penning trap. In each run of the…Kevin J. Coakley·Dec 5, 2006SaveLearn
General radar transmission codes that minimize measurement error of a static targetThe variances of matched and sidelobe free mismatched filter estimators are given for arbitrary coherent targets in the case of aperiodic transmission. It is shown that mismatched filtering is often…Juha Vierinen, Markku Lehtinen, Mikko Orispaa et al.·Dec 5, 2006SaveLearn
Ranking Spaces for Predicting Human Movement in an Urban EnvironmentA city can be topologically represented as a connectivity graph, consisting of nodes representing individual spaces and links if the corresponding spaces are intersected. It turns out in the space…Bin Jiang·Dec 1, 2006SaveLearn
Forecasting extreme events in collective dynamics: an analytic signal approach to detecting discrete scale invarianceA challenging problem in physics concerns the possibility of forecasting rare but extreme phenomena such as large earthquakes, financial market crashes, and material rupture. A promising line of…G. M. Viswanathan·Nov 28, 2006SaveLearn
Cascade Training Technique for Particle IdentificationThe cascade training technique which was developed during our work on the MiniBooNE particle identification has been found to be a very efficient way to improve the selection performance, especially…Yong Liu, Ion Stancu·Nov 27, 2006SaveLearn
Autonomous detection and anticipation of jam fronts from messages propagated by inter-vehicle communicationIn this paper, a minimalist, completely distributed freeway traffic information system is introduced. It involves an autonomous, vehicle-based jam front detection, the information transmission via…Martin Schönhof, Martin Treiber, Arne Kesting et al.·Nov 27, 2006SaveLearn
Notes on statistical separation of classes of eventsThis short note contains some definitions and formulas about the power of an observable in statistically separating different classes of events.Giovanni Punzi·Nov 22, 2006SaveLearn
The structure of the hydrated electron. Part 2. A mixed quantum classical molecular dynamics - embedded cluster density functional theory: single-excitation configuration interaction studyAdiabatic mixed quantum/classical molecular dynamics simulations were used to generate snapshots of the hydrated electron (e-) in liquid water at 300 K. Water cluster anions that include two complete…Ilya A. Shkrob, William J. Glover, Ross E. Larsen et al.·Nov 20, 2006SaveLearn
Mixture models and exploratory analysis in networksNetworks are widely used in the biological, physical, and social sciences as a concise mathematical representation of the topology of systems of interacting components. Understanding the structure of…M. E. J. Newman, E. A. Leicht·Nov 15, 2006SaveLearn