17
Finite-size Finite-size scaling scaling in complex in complex networks networks Meesoon Ha (KIAS) Meesoon Ha (KIAS) in collaboration with in collaboration with Hyunsuk Hong (Chonbuk Nat’l Univ.) and Hyunggyu Park Hyunsuk Hong (Chonbuk Nat’l Univ.) and Hyunggyu Park (KIAS) (KIAS) Korea Institute for Advanced Study The 2 nd KIAS Conference on Statistical Physics (NSPCS06), July 3-6, 2006, KIAS

Finite-size scaling in complex networks

  • Upload
    delu

  • View
    50

  • Download
    0

Embed Size (px)

DESCRIPTION

The 2 nd KIAS Conference on Statistical Physics (NSPCS06) , July 3-6, 2006, KIAS. Finite-size scaling in complex networks. Meesoon Ha (KIAS) in collaboration with Hyunsuk Hong (Chonbuk Nat’l Univ.) and Hyunggyu Park (KIAS). K orea I nstitute for A dvanced S tudy. Outline. - PowerPoint PPT Presentation

Citation preview

Page 1: Finite-size scaling  in complex networks

Finite-size scaling Finite-size scaling in complex networksin complex networks

Meesoon Ha (KIAS)Meesoon Ha (KIAS)

in collaboration within collaboration with

Hyunsuk Hong (Chonbuk Nat’l Univ.) and Hyunggyu Park (KIAS)Hyunsuk Hong (Chonbuk Nat’l Univ.) and Hyunggyu Park (KIAS)

Korea Institute for Advanced Study

The 2nd KIAS Conference on Statistical Physics (NSPCS06), July 3-6, 2006, KIAS

Page 2: Finite-size scaling  in complex networks

2

Outline Controversial issues of critical behavior in CP on scale-free (SF) networks MF vs. Non-MF? Network cutoff

dependence? Mean-field (MF) approach and FSS for the Ising model in regular lattices FSS exponents in SF networks (from Ising to directed percolation, CP and SIS) Numerical results (with two different types of network cutoff)

Summary

Page 3: Finite-size scaling  in complex networks

3

Known so far

Page 4: Finite-size scaling  in complex networks

4

Current controversial issues

Non-MF Critical Behavior of Contact Process (CP) in SF networks?

Castellano and Pastor-Satorras (PRL `06) claimed that the critical behavior of CP is non-MF in SF networks, based on the discrepancy between numerical results and their MF predictions. They pointed out the large density fluctuations at highly connected nodes as a possible origin for such a non-MF critical behavior.

However, it turns out that all of their numerical results can be explained well by the proper MF treatment. In particular, the unbounded density fluctuations are not critical fluctuations, which are just due to the multiplicative nature of the noise in DP systems (Ha, Hong, and Park, cond-mat/0603787).

Cutoff dependence of FSS exponents? Natural cutoff vs. Forced sharp cutoff

Page 5: Finite-size scaling  in complex networks

5

MF approach for the Ising model in regular lattices

m

f

*m

droplet

Page 6: Finite-size scaling  in complex networks

6

Why do we care this droplet length?

For well-known equilibrium models and some nonequilibrium models,

it is known that this thermodynamic droplet length scale

competes with system size in high dimensions and governs FSS as .

.ξdroplet L

-Binder, Nauenberg, Privman, and Young, PRB (1985): 5D Ising

model test- Luebeck and Jassen, PRE (2005): 5D DP model test-Botet, Jullien, and Pfeuty, PRL (1982): FSS in infinite systems

).ψ(tNNm ν1/ν/-

Page 7: Finite-size scaling  in complex networks

7

)ψ(tNNm ν1/ν/-

Generalization: FSS for the Theory n

Page 8: Finite-size scaling  in complex networks

8

Conjecture: FSS in SF networks with γk~P(k)

Note that our conjecture is independent of the type of network cutoffs!!

Page 9: Finite-size scaling  in complex networks

9

Langevin-type equation Approach in SF networks

Page 10: Finite-size scaling  in complex networks

10

MF results in SF networks

Page 11: Finite-size scaling  in complex networks

11

Extensive simulations are performed on two different types of network cutoff

Based on independent measurements two exponents and critical temperature are

determined. Our conjecture is perfectly confirmed well in terms of

data collapse with our numerical finding.

Numerical Results

(Goh et al. PRL `01 for static; Cantanzaro et al. PRE `05 for UCM)

Page 12: Finite-size scaling  in complex networks

12

Ising )( /1/ tNmN

Static UCM

Theory (¼, 2) (¼, 2)

Data (0.25(1), 2.0(1)) (0.25(1), 2.0(1))

)5(50.6

Page 13: Finite-size scaling  in complex networks

13

Ising )( /1/ tNmN

Static (4.37) UCM (4.25)

Theory (0.296, 2.46) (0.308, 2.60)

Data (0.31(2), 2.46(10)) (0.31(2), 2.75(20))

53

Page 14: Finite-size scaling  in complex networks

14

CP on UCM:

UCMOurs C&P-S

Theory (0.571, 2.33) (½, 2.67)

Data (0.59(2), 2.44(10)) (0.63(4), 2.4(2))

75.2

Ours (cond-mat/0603787) vs. Castellano and Pastor-Satorros (PRL ’06)

Page 15: Finite-size scaling  in complex networks

15

Summary & Ongoing Issue

The heterogeneity-dependent MF theory is still valid

in SF networks! No cutoff dependence on critical behavior, if it is not too strong.

We conjecture the FSS exponent value for the Ising model and DP systems (CP, SIS), which is numerically confirmed perfectly well.

Heterogeneous FSS exponents for Synchronization?

Thank you !!!

Page 16: Finite-size scaling  in complex networks

16

Unbounded density fluctuations of CP on SF networks at criticality

Page 17: Finite-size scaling  in complex networks

17

Unbounded density fluctuations of CP: Not only at criticalityBut also everywhere on SF networks!!!