
U3. Random graph models
Authored by Cristina Solà
Mathematics
University
Used 12+ times

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6 questions
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1.
MULTIPLE CHOICE QUESTION
45 sec • 1 pt
This plot is showing a degree distribution.
What are the labels of the axis?
x: number of nodes
y: degree
x: degree
y: fraction of nodes
x: distribution
y: degree
x: degree
y: degree
2.
MULTIPLE CHOICE QUESTION
45 sec • 1 pt
Which model has (most likely) produced a
graph with this degree distribution?
Barabási-Albert
Prefferential attachment
Erdös-Renyi
Havel-Hakimi
3.
MULTIPLE CHOICE QUESTION
45 sec • 1 pt
What are the parameters of the Gilbert (ER) model
used to generate this graph?
n = 100
p = 0.25
n = 140
p = 1
n = 100
p = 0.5
n = 1000
p = 0.1
n = 1000
p = 0.75
4.
MULTIPLE CHOICE QUESTION
45 sec • 1 pt
Which model has (most likely) produced a
graph with this degree distribution?
Barabási-Albert
Gilbert
Erdös-Renyi
Erdös-Gallai
5.
MULTIPLE CHOICE QUESTION
45 sec • 1 pt
Which model has (most likely) produced a
graph with this degree distribution?
Barabási-Albert
Gilbert
Erdös-Renyi
Erdös-Gallai
6.
MULTIPLE CHOICE QUESTION
45 sec • 1 pt
What of the following statements is NOT an implication
of social networks following a prefferential attachment model?
There is a huge difference between the number of friends of the most and the least popular people.
Once a person is popular, her popularity will keep growing.
If a person is unpopular, her popularity will keep decreasing.
People that joined the network earlier are more likely to be popular.
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