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On the number of circuits in random graphs

Enzo Marinari1 and Guilhem Semerjian2

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We apply in this paper (non-rigorous) statistical mechanics methods to the problem of counting long circuits in graphs. The outcomes of this approach have two complementary flavours. On the algorithmic side, we propose an approximate counting procedure, valid in principle for a large class of graphs. On a more theoretical side, we study the typical number of long circuits in random graph ensembles, reproducing rigorously known results and stating new conjectures.


Keywords

random graphs, networks

cavity and replica method

message-passing algorithms

 

E-print Number: cond-mat/0603657

Cited: by |

Refers: to

PACS

05.20.Gg Classical ensemble theory

02.10.Ox Combinatorics; graph theory

02.50.Cw Probability theory

02.50.Ng Distribution theory and Monte Carlo studies

MSC

82B05 Classical equilibrium statistical mechanics (general)

05C80 Random graphs

65C05 Monte Carlo methods

Subjects

Mathematical physics

Computational physics

Statistical physics and nonlinear systems

Dates

Issue 06 (June 2006)

Received 27 March 2006, accepted for publication 6 June 2006

Published 29 June 2006



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