Leonardo Braz - Network Studies

In the context of the Barabasi-Albert model, what is the main difference between a scale-free network and a random network? A) Scale-free networks exhibit a higher clustering coefficient, while random networks exhibit a uniform degree distribution. B) Scale-free networks exhibit an exponential degree distribution, while random networks exhibit a power-law degree distribution. C) Scale-free networks exhibit a power-law degree distribution, while random networks exhibit an exponential degree distribution. D) Scale-free networks and random networks exhibit similar degree distributions but differ in how nodes are connected E) None of the above. Original idea by: Leonardo Henrique de Braz.

Consider the integral: \[ \int_{}^{} 3x^2 - 2x + 5 \,dx \] Which of the following represents the correct antiderivative ? a. x^3 - x^2 + 5x + C b. x^3 - 2x^2 + 5x + C c. (3/2)x^3 - x^2 + 5x + C d. (3/2)x^3 - (4/3)x^3 + 5x + C e. None of above Original idea by: Leonardo Henrique de Braz

About scale-free networks, choose the correct option below: a) Scale-free networks are networks that each node has the same degree b) Scale-free networks are networks that the degree distribution follows the Gaussian distribution c) Scale-free networks are networks that the degree distribution follows the power-law d) Scale-free networks are networks where connectivity between nodes is random e) None of above  Original idea by: Leonardo H. de Braz