Continuous percolation phase transitions of random networks under a generalized Achlioptas process

Details Continuous percolation phase transitions of random networks under a generalized Achlioptas process Continuous percolation phase transitions of random networks under a generalized Achlioptas process

2012-01-12

arxiv.org/abs/1201.2507v1

Physics

Condensed Matter

Statistical Mechanics

4 pages, 6 figures

Scientific paper

Using the finite-size scaling, we have investigated the percolation phase transitions of evolving random networks under a generalized Achlioptas process (GAP). During this GAP, the edge with minimum product of two connecting cluster sizes is taken with a probability $p$ from two randomly chosen edges. This model becomes the Erd\H os-R\'enyi network at $p=0.5$ and the random network under the Achlioptas process at $p=1$. Using both the fixed point of $s_2/s_1$ and the straight line of $\ln s_1$, where $s_1$ and $s_2$ are the reduced sizes of the largest and the second largest cluster, we demonstrate that the phase transitions of this model are continuous for $0.5 \le p \le 1$. From the slopes of $\ln s_1$ and $\ln (s_2/s_1)'$ at the critical point we get the critical exponents $\beta$ and $\nu$, which depend on $p$. Therefore the universality class of this model should be characterized by $p$ also.

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