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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Hierarchical organization of cities and nations
TL;DR: In this paper, the authors find that population and area distributions of nations follow an inverse power-law behavior, as is known for cities, but the exponents are radically different in the two cases.
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Electrostatic and steric effects in the selective complexation of cations in nonactin.
TL;DR: The ester carbonyl stretch frequencies of complexes of the macrotetrolide nonactin with Na+, K+, Rb+, Cs+, Tl+, NH4+, NH3OH+, and (NH2)2CNH2+ have been measured, providing direct evidence that the cation-nonactin interaction is primarily electrostatic, rather than mechanical (steric).
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Loss aversion, overconfidence and their effects on a virtual stock exchange
TL;DR: In this paper, the effects of overconfidence and loss aversion in an artificial stock exchange were studied and the authors found that the inclusion of confidence in 5% of chartists raises the trading volume as empirical evidences corroborate and price volatility increases considerably.
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Assessing the Attraction of Cities on Venture Capital From a Scaling Law Perspective
TL;DR: Wang et al. as discussed by the authors found a clear nonlinear scaling relationship between VC activities and the urban population of Chinese cities, and the spatiotemporal evolution of such metrics on VC activities revealed three distinct groups of cities, two of which stand out with increasing and decreasing trends, respectively.
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Dynamically rich, yet parameter-sparse models for spatial epidemiology: Comment on "Coupled disease-behavior dynamics on complex networks: A review" by Z. Wang et al.
Marko Jusup,Shingo Iwami,Shingo Iwami,Boris Podobnik,Boris Podobnik,Boris Podobnik,H. Eugene Stanley +6 more
TL;DR: The most surprising result arising from the “marriage” between epidemiology and physics was that any spreading rate of a disease in a scale-free network, no matter how low it is, causes the infection to spread over the whole network.