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We performed the tests on a graph size of 1.6 Gbit containing 25,000 vertices.
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If 1/N << P then this removal does not greatly effect the resulting graph and the probability that their exists a clique of size K on a graph of size NS applies to a multi-node graph of size N with S representatives per node.
Since the likelihood depends on the graph size, we designed a simple procedure to transform the likelihood to the probability for the expression of the graph consistency with the data [ 6].
Processing time depends on graph size.
PMIA as a fast heuristic can achieve reasonable performance in both influence spread and online processing time, but its response time varies significantly depending on graph size and influence probability parameters, and could take minutes or longer to complete.
Our proposed MIS emerges as a strong candidate for fast real-time processing of topic-aware influence maximization task: it achieves microsecond response time, which does not depend on graph size or influence probability parameters, while its influence spread matches or is very close to the best greedy algorithm and outperforms other simple heuristics.
Growth rates can be examined when the age of various individuals are plotted against their size on a graph.
A growth curve can be developed when the ages of various individuals are plotted against their sizes on a graph.
The game keeps track of these points by charting them on a graph, as well as increasing the size of the crowd in Tennis and Boxing single-player modes.
DRAGON achieves a linear model with respect to graph size.
When specimens of intermediate age and size are plotted on a graph, an S-shaped growth curve results, with the most rapid growth occurring in a four-year period ending around the sixteenth year of life, a pattern also seen in other tyrannosaurids.
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