Fast Monte Carlo algorithm for site or bond percolation.

By Mark Newman, Robert M. Ziff. Physical review. E, Statistical, nonlinear, and soft matter physics, 2001

423 citations recorded by the source corpus.

We describe in detail an efficient algorithm for studying site or bond percolation on any lattice. The algorithm can measure an observable quantity in a percolation system for all values of the site or bond occupation probability from zero to one in an amount of time that scales linearly with the size of the system. We demonstrate our algorithm by using it to investigate a number of issues in percolation theory, including the position of the percolation transition for site percolation on the square lattice, the stretched exponential behavior of spanning probabilities away from the critical point, and the size of the giant component for site percolation on random graphs.

Subfields: Condensed Matter Physics, Mathematical Physics, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/81fd99fa6344cb5a307ce2823479cc39ed88d081

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In Condensed Matter Physics

  1. José Fernando Ferreira Mendes
  2. Sergey N. Dorogovtsev
  3. Johan Ugander
  4. Ning Hu
  5. Cameron A. Marlow
  6. Denis Allard
  7. Lars Backstrom
  8. Brian Karrer

In Mathematical Physics

  1. José Fernando Ferreira Mendes
  2. Sergey N. Dorogovtsev
  3. Johan Ugander
  4. Ning Hu
  5. Cameron A. Marlow
  6. Denis Allard
  7. Lars Backstrom
  8. Brian Karrer

In Statistical and Nonlinear Physics

  1. Mark Newman
  2. José Fernando Ferreira Mendes
  3. Sergey N. Dorogovtsev
  4. Johan Ugander
  5. Lars Backstrom
  6. Brian Karrer
  7. Jure Leskovec
  8. Cameron A. Marlow

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