H
H. Eugene Stanley
Researcher at Boston University
Publications - 1208
Citations - 134813
H. Eugene Stanley is an academic researcher from Boston University. The author has contributed to research in topics: Complex network & Phase transition. The author has an hindex of 154, co-authored 1190 publications receiving 122321 citations. Previous affiliations of H. Eugene Stanley include University of North Carolina at Chapel Hill & Wesleyan University.
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Applications of statistical mechanics to finance
TL;DR: Some apparently "universal" aspects observed in the empirical analysis of stock price dynamics in nancial markets, including the empirical behavior of the return probability density function, are discussed.
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Scaling properties and entropy of long-range correlated time series
TL;DR: The Shannon entropy of a time series is calculated by using the probability density functions of the characteristic sizes of the long-range correlated clusters introduced in [A. Carbone, G. Castelli, H.E. Stanley, Phys. Rev. E 69 (2004) 026105].
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Influence of corruption on economic growth rate and foreign investments
TL;DR: In this article, the authors investigated the dependence between Gross Domestic Product (GDP) per capita growth rates and changes in the Corruption Perceptions Index (CPI) for the period 1999-2004 on average for all countries in the world, and found that an increase of CPI by one unit leads to an increase in annual GDP per capita by 1.7 %.
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Generalized Scaling Hypothesis in Multicomponent Systems. I. Classification of Critical Points by Order and Scaling at Tricritical Points
TL;DR: In this paper, the authors provide an analysis of spaces of critical points for multicomponent systems and provide a new form of the Gibbs phase rule suitable for complex magnetic models, which they call critical and coexistence spaces.
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Improvements in the statistical approach to random Lévy flight searches
M. G. E. da Luz,Sergey V. Buldyrev,Shlomo Havlin,Shlomo Havlin,E. P. Raposo,H. Eugene Stanley,Gandhimohan. M. Viswanathan,Gandhimohan. M. Viswanathan +7 more
TL;DR: In this paper, it was shown analytically that the incorporation of energy considerations limits the possible range for the L!evy exponent, however, � = 2 still emerges as the optimal foraging condition and the probability distribution of "ight lengths for the short and intermediate "ight length regimes depends on the details of the system.