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Nucleation pathways on complex networks
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View: Figures


Image of FIG. 1.
FIG. 1.

Typical nucleating clusters for several values of for the two different topologies studied (ER and SF). These shown networks contain 100 nodes and 4 mean degree, in order to have a sizeable picture of the system. Up spins and down spins are indicated by blue and yellow circles, respectively.

Image of FIG. 2.
FIG. 2.

The relative size S max of the largest cluster as a function of . Parameters are N = 1000, the average network degree K = 6, h = 0.5, , and .

Image of FIG. 3.
FIG. 3.

Average degree Kn of new phase nodes as a function of . Other parameters are the same as in Fig. 2 .

Image of FIG. 4.
FIG. 4.

(a) The number Ns of nucleating clusters as a function of . (b) Size distribution P(s) of nucleating clusters, on a log-log scale, s denote the size of nucleating clusters. Other parameters are the same as in Fig. 2 .

Image of FIG. 5.
FIG. 5.

The relative S max, Kn , Ns , and as a function of for assortative, uncorrelated, and disassortative degreemixing networks, corresponding to r = 0.2, 0, −0.2, respectively. Other parameters are the same as in Fig. 2 .


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752b84549af89a08dbdd7fdb8b9568b5 journal.articlezxybnytfddd
Scitation: Nucleation pathways on complex networks