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International Journal of Modern Physics C (IJMPC)
Computational Physics and Physical Computation
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Volume: 18, Issue: 11(2007) pp. 1765-1773     DOI: 10.1142/S0129183107011728
Abstract | Full Text (PDF, 185KB) | References
Title: CLUSTERIZATION, FRUSTRATION AND COLLECTIVITY IN RANDOM NETWORKS
Author(s):
ANNA MAŃKA
Faculty of Physics and Applied Computer Science, AGH University of Science and Technology, al. Mickiewicza 30, PL-30059 Kraków, Poland

KRZYSZTOF MALARZ
Faculty of Physics and Applied Computer Science, AGH University of Science and Technology, al. Mickiewicza 30, PL-30059 Kraków, Poland

KRZYSZTOF KUŁAKOWSKI
Faculty of Physics and Applied Computer Science, AGH University of Science and Technology, al. Mickiewicza 30, PL-30059 Kraków, Poland
History:
Received 23 May 2007
Accepted 7 June 2007
Abstract:
We consider the random Erdös–Rényi network with enhanced clusterization and Ising spins s = ±1 at the network nodes. Mutually linked spins interact with energy J. Magnetic properties of the system that are dependent on the clustering coefficient C are investigated with the Monte Carlo heat bath algorithm. For J > 0 the Curie temperature Tc increases from 3.9 to 5.5 when C increases from almost zero to 0.18. These results deviate only slightly from the mean field theory. For J < 0 the spin-glass phase appears below TSG; this temperature decreases with C, on the contrary to the mean field calculations. The results are interpreted in terms of social systems.
Keywords:
Random networks; phase transitions
PACS numbers: 89.65.-s, 64.90.+b

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