Albert

Publications11
h-index9
Citations34,122
Highly Influential Citations2,181
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Emergence of scaling in random networks
TLDR
A model based on these two ingredients reproduces the observed stationary scale-free distributions, which indicates that the development of large networks is governed by robust self-organizing phenomena that go beyond the particulars of the individual systems.
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How the result of a measurement of a component of the spin of a spin-1/2 particle can turn out to be 100.
We have found that the usual measuring procedure for preselected and postselected ensembles of quantum systems gives unusual results. Under some natural conditions of weakness of the measurement, its…
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Topology of evolving networks: local events and universality
TLDR
A continuum theory is proposed that predicts the connectivity distribution of the network describing the professional links between movie actors as well as the scaling function and the exponents, in good agreement with numerical results.
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Dynamics of complex systems: scaling laws for the period of boolean networks
TLDR
A method to calculate the period of a finite Boolean system, by identifying the mechanisms determining its value, can be applied to systems of arbitrary topology, and can serve as a roadmap for understanding the dynamics of large interacting systems in general.
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Curious new statistical prediction of quantum mechanics.
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Jamming and fluctuations in granular drag
TLDR
It is found that while the fluctuations are periodic at small depths, they become "stepped" at large depths, a transition which is interpreted as a consequence of the long-range nature of the force chains.
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Measurement process in relativistic quantum theory.
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How to ascertain the values of sigmax, sigma y, and sigma z of a spin-1/2 particle.
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Multiple-time properties of quantum-mechanical systems.
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Reply to the comment of Cohen and Peres.
  • Aharonov, Albert
  • Computer Science
    Physical review. D, Particles and fields
  • 15 March 1985
We describe what sort of physical information many-time experiments produce, and how that information can be verified by further such experiments.
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