Complex Network Properties and Models

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Last updated 12:27 PM on 8/4/26
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16 Terms

1
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Informally define the term „Small World Effect“! (1 sentence).

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2
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<p>What is &nbsp;the &nbsp;disadvantage &nbsp;of &nbsp;the &nbsp;expression &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;for &nbsp;the &nbsp;average &nbsp;path &nbsp;length &nbsp;in &nbsp;a &nbsp;network? &nbsp; &nbsp; &nbsp;(1 &nbsp; sentence). &nbsp; Suggest &nbsp;an &nbsp;alternative &nbsp;expression &nbsp;avoiding &nbsp;this &nbsp;disadvantage!</p>

What is  the  disadvantage  of  the  expression                                                                                                    for  the  average  path  length  in  a  network?      (1   sentence).   Suggest  an  alternative  expression  avoiding  this  disadvantage!

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3
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State the expression for the fraction of nodes with degree k  (==the probability of a node having degree k) in case of a power law degree distribution!

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4
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If a power law distribution has an exponent of (-­α): What is the exponent of the corresponding cumulative distribution?

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5
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Sketch a power law distribution in a log-log coordinate system!

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6
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7
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<p>Give a precise expression for the degree distribution p<sub>k</sub> in a Poisson Random Graph model G<sub>n,p</sub> ! Qualitatively sketch p<sub>k</sub> for n → ∞, keeping the mean degree z fixed!</p>

Give a precise expression for the degree distribution pk in a Poisson Random Graph model Gn,p ! Qualitatively sketch pk for n → ∞, keeping the mean degree z fixed!

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8
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<p>Emergence of a giant component in a Poisson random graph model: </p><p>Explain the following expression for the fraction of nodes u that do not belong to the giant component</p>

Emergence of a giant component in a Poisson random graph model:

Explain the following expression for the fraction of nodes u that do not belong to the giant component

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9
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For p_k = derive a transcendent equation for S=1-u!

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10
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Sketch S qualitatively as a function of z! Explain in 1 sentence the relation to phase transitions!

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11
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Watts-Strogatz model: informally describe the model for D=1!

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12
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Watts-Strogatz model: Interpret / explain the following diagram in view of the rewiring parameter p! (1-2 sentences)

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13
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Watts Strogatz model, variant (2) (only additional shortcuts) : degree distribution:

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14
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<p>Model of Price: Informally motivate the terms on the right side of the recursion equation for the net change of np_k per added vertex:</p>

Model of Price: Informally motivate the terms on the right side of the recursion equation for the net change of np_k per added vertex:

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15
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Network resilience: What is the difference in effect between randomly removing nodes with

(a) constant probability q or

(b) removing the highest degree nodes?

(Explain informally in 1-2 sentences!)

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16
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<p>Models of Epidemiology: quantities: susceptibles s, infectives i, recovered r, infection rate β, recovery rate γ:</p>

Models of Epidemiology: quantities: susceptibles s, infectives i, recovered r, infection rate β, recovery rate γ:

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