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Entities in modern society generally manifest as complex systems, which are difficult to comprehend. They operate beneath the surface, and their underlying mechanisms can be represented through networks. A notable approach is the use of random networks for modeling these complex systems. Random networks explain the processes by which real networks form, as well as the laws governing their shape and structure. They are based on the concept of random connections between network nodes according to a specific probability. Uniform networks, where most nodes have an equal number of links on average, are a common representation. However, when examining the link distribution of each node, it generally follows a statistical distribution, such as a normal or Poisson distribution, to represent the characteristics. The degree of a node in this model follows a bell-shaped distribution, with rare presence of nodes with extremely high or low degrees. The network shape is predominantly determined by the average value of the vertices, with the majority of nodes having a number of links close to the average value, and nodes with a small or large number of links being extremely limited in number.

Problem:

According to the article, which of the following statements about random networks is true?

A) Random networks are a simple and straightforward approach for modeling complex systems.

B) Random networks are primarily governed by deterministic laws.

C) The link distribution of nodes in random networks follows a uniform distribution.

D) Random networks do not exhibit nodes with extremely high or low degrees.

E) The shape of random networks is solely determined by the total number of nodes present.