H
H. E. Stanley
Researcher at Boston University
Publications - 343
Citations - 28190
H. E. Stanley is an academic researcher from Boston University. The author has contributed to research in topics: Critical point (thermodynamics) & Phase transition. The author has an hindex of 83, co-authored 343 publications receiving 26866 citations. Previous affiliations of H. E. Stanley include University of Belgrade & Beth Israel Deaconess Medical Center.
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Classes of small-world networks
TL;DR: Evidence of the occurrence of three classes of small-world networks, characterized by a vertex connectivity distribution that decays as a power law law, and the nature of such constraints may be the controlling factor for the emergence of different classes of networks are presented.
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Lévy flight search patterns of wandering albatrosses
Gandhimohan. M. Viswanathan,Vsevolod Afanasyev,Sergey V. Buldyrev,Eugene J. Murphy,P. A. Prince,H. E. Stanley +5 more
TL;DR: In this article, the authors study the foraging behavior of the wandering albatross Diomedea exulans and find a power-law distribution of flight-time intervals.
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Long-range anticorrelations and non-Gaussian behavior of the heartbeat
Chung-Kang Peng,Chung-Kang Peng,Chung-Kang Peng,J. Mietus,J. Mietus,J. Mietus,Jeffrey M. Hausdorff,Jeffrey M. Hausdorff,Jeffrey M. Hausdorff,Shlomo Havlin,Shlomo Havlin,Shlomo Havlin,H. E. Stanley,H. E. Stanley,H. E. Stanley,Ary L. Goldberger,Ary L. Goldberger,Ary L. Goldberger +17 more
TL;DR: It is found that the successive increments in the cardiac beat-to-beat intervals of healthy subjects display scale-invariant, long-range anticorrelations (up to 10(4) heart beats), and the different scaling behavior in health and disease must relate to the underlying dynamics of the heartbeat.
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Statistical properties of the volatility of price fluctuations.
Yanhui Liu,Parameswaran Gopikrishnan,Pierre Cizeau,M. Meyer,Chung-Kang Peng,Chung-Kang Peng,H. E. Stanley +6 more
TL;DR: The cumulative distribution of the volatility is consistent with a power-law asymptotic behavior, characterized by an exponent mu approximately 3, similar to what is found for the distribution of price changes.
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Relation between the Widom line and the dynamic crossover in systems with a liquid–liquid phase transition
Limei Xu,Pradeep Kumar,Sergey V. Buldyrev,Shawhorng Chen,Peter H. Poole,Francesco Sciortino,H. E. Stanley +6 more
TL;DR: It is argued that this connection between C(P)(max) and dynamic crossover is not limited to the case of water, a hydrogen bond network-forming liquid, but is a more general feature of crossing the Widom line.