Module 7 Flashcards by M d Heijer | Brainscape

Q

What is the definition of Complex?

A

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Q

What is the definition of Complexity?

A

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Q

What are the three components of networks?

A

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Q

What is a Node Degree (directed & undirected)?

A

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Q

What is the Average Degree (directed & undirected)?

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Q

What is Degree Distribution?

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Q

What is the distance in a graph?

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Q

What is the diameter of a graph?

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Q

What is the clustering coeficient?

A

e_i, the number of triangles through i

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Q

What are the four centrality measures?

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Q

What is degree centrality?

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Q

What is Betweenness Centrality?

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Q

What is Closeness Centrality?

A

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Q

What is a Random (Erdos-Reyni) network?

A

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Q

What is the giant componant? What is f_c?

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Q

What are Scale-free networks?

A

Q

What is the Barabási-Albert model?

A

Q

What is the idea of Robustness?

A

Q

Which type of network is more robust? Preferentially-attached, or random?

A

Random failures: Preferential Attachment
Directed attacks: Random networks

Q

How can networks be used to model disease spreading?

A

Q

What is the idea of Degree Block approximation?

A

Q

Why do we mostly care about early behavoir of an epidemic?

A

Q

What is the early behavoir of an SI or SIS model?

A

Q

What are the two main ideas used in (non-network) epidemic models?

A

Q

What is the (homogeneous) SI model?

A

Q

How does an SI model spread?

A

Q

What is the homogeneous SIS model?

A

Q

What are the two possible outcomes of an SIS model? When do these occur?

A

Q

How is an SI model implemented on a network?

A

Q

What is the idea of degree block approximation?

A

Q

What is the concept of the vanishing epidemic treshold? Where is it derived from?

A

Q

What is the epidemic treshold on scale-free networks?

A

Q

How can vaccination be modelled on SIR networks?

A