Properties of a random attachment growing network

László Zalányi; Gábor Csárdi; Tamás Kiss; Máté Lengyel; Rebecca Warner; Jan Tobochnik; Péter Érdi

doi:10.1103/PhysRevE.68.066104

Properties of a random attachment growing network

László Zalányi
, Gábor Csárdi
, Tamás Kiss
, Máté Lengyel
, Rebecca Warner
, Jan Tobochnik^*
, Péter Érdi

^*Corresponding author for this work

Wigner Research Centre for Physics
Kalamazoo College

Research output: Contribution to journal › Article › peer-review

Abstract (may include machine translation)

Statistical structural properties of growing social network model were discussed. In the model the newly added node had selected its possible partners from the existing networks and joined them by undirected edges. Exponential dependence on the age of a node was shown by the explicit description of the expected numbers of edges. The generated networks had scale-free distribution at the phase transition point as suggested by numerical simulations.

Original language	English
Article number	066104
Pages (from-to)	661041-661049
Number of pages	9
Journal	Physical Review E - Statistical, Nonlinear, and Soft Matter Physics
Volume	68
Issue number	6
DOIs	https://doi.org/10.1103/PhysRevE.68.066104
State	Published - 2003
Externally published	Yes

Access to Document

10.1103/PhysRevE.68.066104

Cite this

@article{b6f53d30f26f428cae1cc532e0b61891,

title = "Properties of a random attachment growing network",

abstract = "Statistical structural properties of growing social network model were discussed. In the model the newly added node had selected its possible partners from the existing networks and joined them by undirected edges. Exponential dependence on the age of a node was shown by the explicit description of the expected numbers of edges. The generated networks had scale-free distribution at the phase transition point as suggested by numerical simulations.",

author = "L{\'a}szl{\'o} Zal{\'a}nyi and G{\'a}bor Cs{\'a}rdi and Tam{\'a}s Kiss and M{\'a}t{\'e} Lengyel and Rebecca Warner and Jan Tobochnik and P{\'e}ter {\'E}rdi",

year = "2003",

doi = "10.1103/PhysRevE.68.066104",

language = "English",

volume = "68",

pages = "661041--661049",

journal = "Physical Review E - Statistical, Nonlinear, and Soft Matter Physics",

issn = "1539-3755",

publisher = "American Physical Society",

number = "6",

}

TY - JOUR

T1 - Properties of a random attachment growing network

AU - Zalányi, László

AU - Csárdi, Gábor

AU - Kiss, Tamás

AU - Lengyel, Máté

AU - Warner, Rebecca

AU - Tobochnik, Jan

AU - Érdi, Péter

PY - 2003

Y1 - 2003

N2 - Statistical structural properties of growing social network model were discussed. In the model the newly added node had selected its possible partners from the existing networks and joined them by undirected edges. Exponential dependence on the age of a node was shown by the explicit description of the expected numbers of edges. The generated networks had scale-free distribution at the phase transition point as suggested by numerical simulations.

AB - Statistical structural properties of growing social network model were discussed. In the model the newly added node had selected its possible partners from the existing networks and joined them by undirected edges. Exponential dependence on the age of a node was shown by the explicit description of the expected numbers of edges. The generated networks had scale-free distribution at the phase transition point as suggested by numerical simulations.

UR - https://www.scopus.com/pages/publications/3342997959

U2 - 10.1103/PhysRevE.68.066104

DO - 10.1103/PhysRevE.68.066104

M3 - Article

C2 - 14754266

AN - SCOPUS:3342997959

SN - 1539-3755

VL - 68

SP - 661041

EP - 661049

JO - Physical Review E - Statistical, Nonlinear, and Soft Matter Physics

JF - Physical Review E - Statistical, Nonlinear, and Soft Matter Physics

IS - 6

M1 - 066104

ER -

Properties of a random attachment growing network

Abstract (may include machine translation)

Access to Document

Other files and links

Fingerprint

Cite this