### Abstract

Preferential attachment schemes, where the selection mechanism is linear and possibly time-dependent, are considered, and an infinite-dimensional large deviation principle for the sample path evolution of the empirical degree distribution is found by Dupuis-Ellis-type methods. Interestingly, the rate function, which can be evaluated, contains a term which accounts for the cost of assigning a fraction of the total degree to an "infinite" degree component, that is, when an atypical "condensation" effect occurs with respect to the degree structure. As a consequence of the large deviation results, a sample path a.s. law of large numbers for the degree distribution is deduced in terms of a coupled system of ODEs from which power law bounds for the limiting degree distribution are given. However, by analyzing the rate function, one can see that the process can deviate to a variety of atypical nonpower law distributions with finite cost, including distributions typically associated with sub and superlinear selection models.

Original language | English (US) |
---|---|

Pages (from-to) | 722-763 |

Number of pages | 42 |

Journal | Annals of Applied Probability |

Volume | 23 |

Issue number | 2 |

DOIs | |

State | Published - Apr 2013 |

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### Keywords

- Condensation
- Degree distribution
- Large deviations
- Law of large numbers
- Power law
- Preferential attachment
- Random graphs
- Time-dependent

### ASJC Scopus subject areas

- Statistics and Probability
- Statistics, Probability and Uncertainty

### Cite this

**Large deviations for the degree structure in preferential attachment schemes.** / Choi, Jihyeok; Sethuraman, Sunder.

Research output: Contribution to journal › Article

*Annals of Applied Probability*, vol. 23, no. 2, pp. 722-763. https://doi.org/10.1214/12-AAP854

}

TY - JOUR

T1 - Large deviations for the degree structure in preferential attachment schemes

AU - Choi, Jihyeok

AU - Sethuraman, Sunder

PY - 2013/4

Y1 - 2013/4

N2 - Preferential attachment schemes, where the selection mechanism is linear and possibly time-dependent, are considered, and an infinite-dimensional large deviation principle for the sample path evolution of the empirical degree distribution is found by Dupuis-Ellis-type methods. Interestingly, the rate function, which can be evaluated, contains a term which accounts for the cost of assigning a fraction of the total degree to an "infinite" degree component, that is, when an atypical "condensation" effect occurs with respect to the degree structure. As a consequence of the large deviation results, a sample path a.s. law of large numbers for the degree distribution is deduced in terms of a coupled system of ODEs from which power law bounds for the limiting degree distribution are given. However, by analyzing the rate function, one can see that the process can deviate to a variety of atypical nonpower law distributions with finite cost, including distributions typically associated with sub and superlinear selection models.

AB - Preferential attachment schemes, where the selection mechanism is linear and possibly time-dependent, are considered, and an infinite-dimensional large deviation principle for the sample path evolution of the empirical degree distribution is found by Dupuis-Ellis-type methods. Interestingly, the rate function, which can be evaluated, contains a term which accounts for the cost of assigning a fraction of the total degree to an "infinite" degree component, that is, when an atypical "condensation" effect occurs with respect to the degree structure. As a consequence of the large deviation results, a sample path a.s. law of large numbers for the degree distribution is deduced in terms of a coupled system of ODEs from which power law bounds for the limiting degree distribution are given. However, by analyzing the rate function, one can see that the process can deviate to a variety of atypical nonpower law distributions with finite cost, including distributions typically associated with sub and superlinear selection models.

KW - Condensation

KW - Degree distribution

KW - Large deviations

KW - Law of large numbers

KW - Power law

KW - Preferential attachment

KW - Random graphs

KW - Time-dependent

UR - http://www.scopus.com/inward/record.url?scp=84879755532&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84879755532&partnerID=8YFLogxK

U2 - 10.1214/12-AAP854

DO - 10.1214/12-AAP854

M3 - Article

AN - SCOPUS:84879755532

VL - 23

SP - 722

EP - 763

JO - Annals of Applied Probability

JF - Annals of Applied Probability

SN - 1050-5164

IS - 2

ER -