Barabási-Albert
In the study of complex networks, the Barabási-Albert model describes how a node's connectivity evolves over time using the following equation: ki(t) = m * (t / ti)^0.5 In this formula, ti represents the time node i was introduced to the network, and t is the current time. Based on this dynamics, what fundamental conclusion can be drawn regarding the formation of major "hubs"? A) A node's growth rate is purely linear and depends exclusively on the number of new connections (m) added at each step, regardless of the entry time. B) There is a "first-mover advantage," meaning that older nodes are more likely to become hubs because they have been exposed to the preferential attachment mechanism for a longer period. C) A node's degree tends to decrease as the network grows (as t increases toward infinity), allowing newer nodes to quickly reach the same level of connectivity as veteran nodes. D) The resulting degree distribution is independent of the nodes...