Week 2 Flashcards

1
Q

What is the definition of probability distribution of degrees of a graph?

A
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2
Q

What are three intresting characteristics of complex networks?

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3
Q

What is the definition of the average path length?

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4
Q

What is the charactereristic path length?

A
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5
Q

How to calculate the clustering coefficient?

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6
Q

What is the definition of a triangle?

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7
Q

What is network transitivity?

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8
Q

What is the difference between transitivity and clustering?

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9
Q

How do we write down an Erdos-Renyi network? How is one created?

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10
Q

What is the degree distribution of an ER network?

A
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11
Q

What is the average degree in an ER network? What is the expected number of links?

A
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12
Q

When can the ER distribution be approximated by a Poisson distribution?

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13
Q

What is the Average Path length in an ER network?

A
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14
Q

What is a phase transition? And how do ER networks display it?

A
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15
Q

What is the expected clustering coefficient of an ER network?

A
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16
Q

What is the definition of the Watts-Strogatz model?

A
17
Q

What is the clustering coefficient for a WS network?

A
18
Q

What is the average shortest path length?

A
19
Q

What are scale-free networks?

A
20
Q

What is the expected maximum degree for a network with Poisson distribution?

A
21
Q

What is the expected maximum degree for a network with a power law-distribution?

A
22
Q

What are moments? What is the first and second moment of a Poisson distribution?

A
23
Q

Does the scale-free property affect the minimum shortest paths?

A