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These edges are attached to existing nodes via the preferential attachment model (see Methods).
These edges are attached to existing nodes via the preferential attachment model [7].
Figure 6 Resolving μ further: For preferential attachment model of random graph.
We also plotted similar curves using preferential attachment model to realize the random LP graph.
Similar to Figure 4, we plotted curves for the preferential attachment model in Figure 6.
Links are formed between nodes based on the preferential attachment model described by [11].
These results were also confirmed using an in vitro cell attachment model.
Figure 11 Finding optimum balance between computation and communication costs: For preferential attachment model of random graph of 100 nodes.
Figure 8 Effect of partition refinement frequency on simulation time: For preferential attachment model of random graph.
Figure 5 Finding optimum balance between computation and communication costs: For preferential attachment model of random graph.
We now recall the growth algorithm used in the preferential attachment model introduced by Barabási and Albert [23].
