Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2004-08-18
Physical Review Letters 95, 098701 (2005) (4pages),
Physics
Condensed Matter
Disordered Systems and Neural Networks
4 pages, 5 figures
Scientific paper
10.1103/PhysRevLett.95.098701
Scale-free networks with topology-dependent interactions are studied. It is shown that the universality classes of critical behavior, which conventionally depend only on topology, can also be explored by tuning the interactions. A mapping, $\gamma' = (\gamma - \mu)/(1-\mu)$, describes how a shift of the standard exponent $\gamma$ of the degree distribution $P(q)$ can absorb the effect of degree-dependent pair interactions $J_{ij} \propto (q_iq_j)^{-\mu}$. Replica technique, cavity method and Monte Carlo simulation support the physical picture suggested by Landau theory for the critical exponents and by the Bethe-Peierls approximation for the critical temperature. The equivalence of topology and interaction holds for equilibrium and non-equilibrium systems, and is illustrated with interdisciplinary applications.
Castillo Perez I.
Giuraniuc C. V.
Hatchett Jonathan P. L.
Indekeu Joseph O.
Leone Maurizio
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