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U3. Random graph models

Authored by Cristina Solà

Mathematics

University

Used 12+ times

U3. Random graph models
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6 questions

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1.

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

Media Image

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

Media Image

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

Media Image

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

Media Image

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

Media Image

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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