Exercise:

Suppose you are analyzing a "scale-free" network that follows the Barabási-Albert model. This model generates networks where new nodes tend to preferentially connect to nodes that already have many connections, creating a hub structure.

Question:

In a "scale-free" network, which of the following statements best describes the degree distribution and its impact on the network's structure?

Options:

a) All nodes in the network have approximately the same number of connections, leading to a normal degree distribution.

b) Nodes with few connections are the most influential in the network, due to the low centralization of hubs.

c) The degree distribution follows a power law, meaning most nodes have few connections, while a few nodes have a very high number of connections.

d) Preferential attachment ensures that each new node connects to a random node, regardless of how many connections that node already has.