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Probabilistic complexity theory / Algorithm / Mathematical logic / Random graph / Markov chain Monte Carlo / Monte Carlo method / Matching / Edge coloring / Hopcroft–Karp algorithm / Mathematics / Theoretical computer science / Applied mathematics


On the uniform generation of random graphs with prescribed degree sequences R. Milo,1, 2 N. Kashtan,2, 3 S. Itzkovitz,1, 2 M. E. J. Newman,4 and U. Alon1, 2 Department of Physics of Complex Systems, Weizmann Institute of
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Document Date: 2012-09-27 02:30:03


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Rehovot / New York / /

Company

S. Bandyopadhya / Monte Carlo / P. Diaconis S. P. / /

Country

United States / Israel / /

Facility

Duke University / University of Michigan / Weizmann Institute of Science / Institute of Statistics / /

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given network / possible networks / designed and evolved networks / real-world network / protein networks / singular networks / transcriptional regulation network / real-world networks / present algorithms / supplementary online material / real world networks / Realistic applications / transcription network / toy network / random networks / /

Organization

Duke University / Department of Molecular Cell Biology / University of Michigan / Ann Arbor / Department of Computer Science and Applied Mathematics / Center for the Study of Complex Systems / Department of Physics / Department of Physics of Complex Systems / Institute of Statistics and Decision Sciences / Weizmann Institute of Science / /

Person

J. M. Roberts / Jr. / Lillie Gaussian / Smirnoff Gaussian / Oliver D. King / Private / /

Position

King / /

ProvinceOrState

New York / Michigan / /

PublishedMedium

Nature Genetics / Complex Systems / /

Technology

0 1 0.5 switching algorithm / three algorithms / A. Switching algorithm / switching algorithm / present algorithms / matching algorithm / Winners algorithm / cloning / B. Matching algorithm / Markovchain algorithms / simulation / computer algorithms / 0 1 0.5 matching algorithm / two algorithms / /

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