The sequence of images below shows some steps for generating the
network based on the Barabási-Albert model. Consider that starting
with \( m_0 \) nodes, the empty circles mark the newly added node to the
network in each timestep \( t \), and the new node's number of links
is \( m = 2 \).
Analyze the following statements about the network:
1. Choosing which node will be connected uses the preferential attachment criteria.
2. After \( t \) timesteps, this model generates a network with \( t + m_0 \) nodes.
3. The degree distribution of this network follows the Poisson
distribution.
4. This network has the scale-free property.
5. The diameter of this network with N nodes can be estimated by the
equation \( D \sim \frac{\ln N}{\ln \ln N} \)
Select the correct alternative:
- All statements are correct.
- Only statements 1, 2, and 3 are correct.
- Only statements 3, 4, and 5 are correct.
- Only statements 1, 2, 4, and 5 are correct.
-
None of the above.
Original idea by: Rubens de Castro Pereira