Abstract
Dynamical scalings for the end-to-end distance Re e and the number of distinct visited nodes Nv of random walks (RWs) on finite scale-free networks (SFNs) are studied numerically. 〈 Re e 〉 shows the dynamical scaling behavior 〈 Re e (over(ℓ, -), t) 〉 = over(ℓ, -)α (γ, N) g (t / over(ℓ, -)z), where over(ℓ, -) is the average minimum distance between all possible pairs of nodes in the network, N is the number of nodes, γ is the degree exponent of the SFN and t is the step number of RWs. Especially, 〈 Re e (over(ℓ, -), t) 〉 in the limit t → ∞ satisfies the relation 〈 Re e 〉 ∼ over(ℓ, -)α ∼ dα, where d is the diameter of network with d (over(ℓ, -)) ≃ ln N for γ ≥ 3 or d (over(ℓ, -)) ≃ ln ln N for γ < 3. Based on the scaling relation 〈 Re e 〉, we also find that the scaling behavior of the diameter of networks can be measured very efficiently by using RWs.
Original language | English |
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Pages (from-to) | 3033-3038 |
Number of pages | 6 |
Journal | Physica A: Statistical Mechanics and its Applications |
Volume | 387 |
Issue number | 12 |
DOIs | |
Publication status | Published - 1 May 2008 |
Bibliographical note
Funding Information:This work was supported by the Korea Science and Engineering Foundation (KOSEF) grant funded by the Korea government (MOST) (No. R01-2007-000-10910-0, No. R01-2006-000-10470-0, and F01-2006-000-10093-0).
Keywords
- Complex networks
- Random walks