New Classes of Degree Sequences with Fast Mixing Swap Markov Chain Sampling

@article{Erds2018NewCO,
  title={New Classes of Degree Sequences with Fast Mixing Swap Markov Chain Sampling},
  author={P{\'e}ter L. Erd{\"o}s and Istv{\'a}n Mikl{\'o}s and Zolt{\'a}n Toroczkai},
  journal={Comb. Probab. Comput.},
  year={2018},
  volume={27},
  pages={186-207}
}
  • Péter L. Erdös, István Miklós, Zoltán Toroczkai
  • Published in Comb. Probab. Comput. 2018
  • Computer Science, Mathematics
  • In network modeling of complex systems one is often required to sample random realizations of networks that obey a given set of constraints, usually in form of graph measures. A much studied class of problems targets uniform sampling of simple graphs with given degree sequence or also with given degree correlations expressed in the form of a joint degree matrix. One approach is to use Markov chains based on edge switches (swaps) that preserve the constraints, are irreducible (ergodic) and fast… CONTINUE READING

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