Article,

Statistics of cycles in large networks

, and .
Physical Review E, 73 (2): 025101 (2006)
DOI: 10.1103/PhysRevE.73.025101

Abstract

The occurrence of self-avoiding closed paths (cycles) in networks is studied under varying rules of wiring. As a main result, we find that the dependence between network size N and typical cycle length is algebraic, ⟨h⟩∝Nα, with distinct values of α for different wiring rules. The Barabasi-Albert model has α=1. Different preferential and nonpreferential attachment rules and the growing Internet graph yield α<1. Computation of the statistics of cycles at arbitrary length is made possible by the introduction of an efficient sampling algorithm.

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