Question 3
A network G' is generated from a real network G. The following properties are observed: G' preserves the exact degree sequence of G. The clustering coefficient is close to that expected in a random graph with the same degree sequence. The construction process depends explicitly on the original network structure. Which method best explains these observations? a) Configuration Model , because it generates networks with the same degree sequence and produces low clustering typical of random graphs. b) Degree-Preserving Randomization, because it modifies the original network through edge swaps that preserve degrees while driving the network toward a random configuration. c) Hidden-variable model, because it generates networks from probabilistic connections based on node attributes, rather than modifying the original network. d) A deterministic graph construction, because preserving the degree sequence uniquely determines the network structure. e) None of the above. ...