Lecture 8 Flashcards

1
Q

Collective influence of a node is determined by _________ ____ _________

A

Measuring its degrees

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2
Q

Identifying influencer nodes is good when wanting to _________(explanation)

A

Percolate the network into fragments

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3
Q

Major nodes can be major ________

A

Targets

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4
Q

Define a center’s dominant sphere of influence

A

Hinterlands

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5
Q

Delineate a center’s area of influence

A

Field

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6
Q

Both the _______ and ________ of competition influence the shapes of hinterlands and fields.

A

Presence and location

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7
Q

A flow of freight or passengers or the physical infrastructure of a road or railroad

A

Linkages

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8
Q

Largest linkages are called ________ or _________

A

Trunklines or main streets

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9
Q

Small linkages are called ________ or _______

A

Arterials or feeders

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10
Q

The largest and most important ________ are called _________ and serve as entry and exit points for a region

A

Nodes

Gateways

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11
Q

A ________ differentiates between center sizes, regional dominance, and inter-city relationships

A

Hierarchy

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12
Q

Most important linkages are between _______ ________

A

Dominant centers

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13
Q

The largest centers in the hierarchy _________ smaller cities and there are linkages of _________ magnitude between centers

A

Dominate

Varying

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14
Q

Determine the structural stability, dynamic behavior, robustness, and error and attack tolerance of real networks.

A

Hubs

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15
Q

They stand as proof of the highly important organizing principles that govern network evolution

A

Hubs

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16
Q

Value is known

A

Tangible costs

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17
Q

Tangle cost

Example?

A

Cannot be valued

Peace of mind

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18
Q

International free clearance

A

US custom border in other countries

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19
Q

Backup plan B; you’re not vulnerable to the point where you have only one solution

A

Redundancy

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20
Q

Spread the risk to some other agency

A

Mitigation

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21
Q

A budget is available for both ______ and ______ options

A

Preparedness and recovery

22
Q

GAO

A

Government organized think tank that gets paid to check things out

23
Q

Draw Goodovitch’s air transport network development model

24
Q

Draw TMG’s idealized state model

25
Draw Poisson Model
Drawing
26
Draw O'Connor's Intl. air transportation development model
Drawing
27
Draw Gavish Star, Multi-drop, Hub and Multi-drops, and Hub-spoke networks for computers
Draw
28
O'Kelly Internet Model Single-hub/ Penetration lines to regional hubs/ Development of global hub-spoke system/ Emergence of regional hub and spoke system Reliable network systems with hub dispersion
Drawing
29
Pick any pair of nodes at random and link them together
Poisson
30
There are many nodes with few links and few nodes with many links
Scale-free network; Power Law
31
The ________ _________ rule - new links are more likely to attach to nodes that already have many links. What networks use this?
Preferential attachment | Scale-free
32
The average of nodes is useful in ________ networks but not ________ networks
Random | Scale-free
33
Has no strict power law and is not random
Small world network
34
A high degree of clustering (neighborhoods), mini-hubs instead of a single dominant hub
Small world network
35
Small number of hops between all nodes
Small world network
36
Shortest links replace longer links; least amount of hops
Organizing principle
37
What network uses 'organizing principle'?
Small world networks
38
Any node can be reached from any other node in a finite number of hops
Small world network
39
Network that has no hubs
Random
40
Network that has power hubs
Scale-free
41
Networks whose failures start small, propagate until all nodes are affected by a fault
Cascade networks
42
Networks where an epidemic will die out if the spreading rate is less than some threshold. Otherwise the epidemic will persist
Random cascade network
43
Epidemics will not spread throughout a _________ network if the hubs are sufficiently protected
Scale-free cascade
44
Fault-tolerance
Ability to be resilient
45
Fault tolerance increases according to the degree of ________ provided to a node
Protection
46
_______ networks have more fault-tolerance
Scale-free
47
Fault tolerance increases, in a cascade network as (3 ways):
The degree of protected node increases The network scale-free-ness increases The infection rate decreases
48
Exhibit oscillating or reverberating faults, that the infection or fault starts, spreads, and then dies off, starts again spreads, etc., repeatedly Example?
SIS (Susceptible-Infected-Susceptible) Internet
49
Networks effects
Cascading effects would grow as you attach more nodes
50
Cascading effects would grow as you attach more nodes
Network effects