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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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Optimal community structure for social contagions

TL;DR: A reversible social contagion model of community networks that includes the factor of social reinforcement is proposed that indicates that there is a first-order phase transition in the spreading dynamics, and that a hysteresis loop emerges in the system when there are a variety of initially-adopted seeds.
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Correlated randomness: Some examples of exotic statistical physics

TL;DR: In this article, the authors consider the problem of uncovering how, through randomness (albeit, as we shall see, strongly correlated randomness), one can arrive at many spatial and temporal patterns in biology, medicine, and economics.
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Fractal-to-Euclidean crossover of the thermodynamic properties of the Ising model.

TL;DR: A diagrammatic technique for determining the exact recursive relations for the partition functions of the Ising model in a field, situated on finitely ramified deterministic fractal lattices, and demonstrates the difference between the standard thermodynamic limit and the fractal-to-Euclidean crossover behavior.
Book ChapterDOI

Novel pattern formation in granular matter

TL;DR: In this paper, a simple experiment and numerical model of how these avalanches cause segregation in particle size that lead to characteristic laminated patterns is presented, and the authors analyze data on two sandstone samples from different, but similar, geological environments, and find that the permeability fluctuations display long-range power-law correlations characterized by an exponent H≈082-090.
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Does the Wage Gap between Private and Public Sectors Encourage Political Corruption

TL;DR: A dynamic network model of corrupt and noncorrupt employees representing two states in the public and private sector finds that the public sector wage premium increases with the level of corruption.