activity
19972004
most citedComplete Condensation in a Zero Range Process on Scale-Free Networks

65 citations · 139 across the 12 of their papers we have counts for

collaborators

12 papers

cond-mat.stat-mech2004★ 65 cited

Complete Condensation in a Zero Range Process on Scale-Free Networks

Jae Dong Noh, G. M. Shim, Hoyun Lee

We study a zero range process on scale-free networks in order to investigate how network structure influences particle dynamics. The zero range process is defined with the particle…

cond-mat.dis-nn2004★ 20 cited

Analytic study of the three-urn model for separation of sand

G. M. Shim, B. Y. Park, J. D. Noh +1

We present an analytic study of the three-urn model for separation of sand. We solve analytically the master equation and the first-passage problem. We find that the stationary pro…

cond-mat.dis-nn2003★ 5 cited

The Blume-Emery-Griffiths neural network: dynamics for arbitrary temperature

D. Bolle, J. Busquets Blanco, G. M. Shim +1

The parallel dynamics of the fully connected Blume-Emery-Griffiths neural network model is studied for arbitrary temperature. By employing a probabilistic signal-to-noise approach,…

cond-mat.dis-nn2002★ 6 cited

Optimal Capacity of the Blume-Emery-Griffiths perceptron

D. Bolle, I. Perez Castillo, G. M. Shim

A Blume-Emery-Griffiths perceptron model is introduced and its optimal capacity is calculated within the replica-symmetric Gardner approach, as a function of the pattern activity a…

cond-mat.dis-nn2002★ 19 cited

Analytic study of the urn model for separation of sand

G. M. Shim, B. Y. Park, Hoyun Lee

We present an analytic study of the urn model for separation of sand recently introduced by Lipowski and Droz (Phys. Rev. E 65, 031307 (2002)). We solve analytically the master equ…

cond-mat.dis-nn2002★ 9 cited

Parallel dynamics of the fully connected Blume-Emery-Griffiths neural network

D. Bolle, J. Busquets Blanco, G. M. Shim

The parallel dynamics of the fully connected Blume-Emery-Griffiths neural network model is studied at zero temperature for arbitrary using a probabilistic approach. A recursive sch…