YuriPadua-graph-algorithms-2023-1

Consider a growing network following the Barabási-Albert model. You don't know the initial number of links, but you do know that at time step t = 10,000, a node that joined at step t_i = 1,500 has a degree of k ≈ 10. What could be the degree of a node that joined this same network at time step t_j = 3,000? 7 14 30 120 None of the above Original idea by: Yuri Souza Padua

Which of the following statements is false about random networks and scale-free networks? The degree distribution in a random network follows a Poisson distribution, while in a scale-free network it follows a power law distribution. The random network always has a lower clustering coefficient than the scale-free network. In a scale-free network, most nodes have a low degree, while in a random network, most nodes have a high degree. The largest degree in a random network is always smaller than the largest degree in a scale-free network. None of the above. Original idea by: Yuri Souza Padua PS: Dear professor, I am writing to kindly remind you about my last quiz queston that we talked by email. 😅 Just to help: Link to the last question . I think everything is correct, just the "trick question" (none the above) Thank you very much in advance!  😁 😁 😁 😁 (0.1 in the final grade can make a big difference)

  Considering the network above, which of the options below does not describe a sequence of nodes visited by the BFS algorithm? A) EBFHDACGI B) GDHAEIBFC C) CBFAEIDHG D) ABDCEGFHI E) Nenhuma das alternativas Original idea by: Yuri Souza Padua

  What is the main difference between a node/vertex and an edge/links in a network; and how does this difference contribute to the study of complex networks? A) Vertex and edges are interchangeable terms that can be used to describe any component of a network. This flexibility allows us to study the structure and behavior of complex networks in a variety of contexts and domains. B) Nodes are the individual components of a network, while edges represent the connections between them. This distinction is important because it allows us to study the structure and properties of complex networks at different levels of granularity, from the individual nodes to the network as a whole. C) Nodes are the connections between the individual components of a network, while links represent the individual components themselves. This distinction is important because it allows us to study the flow of information or resources within a network and how this ...