Network Analysis Flashcards

1
Q

Looking for patterns in data over a specific
type of data

A

Data Mining

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1
Q

Performing well-defined computations or asking well-defined questions (“queries”)

A

Basic Data Manipulation and Analysis

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2
Q

Machine Learning

A

Using data to make inferences or predictions

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3
Q

Graphical depiction of data

A

Data Visualization

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4
Q

Edges can be

A

undirected or directed

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5
Q

A real-world network is modeled in the computer as a

A

graph

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6
Q

Some nodes are connected by

A

Edges or links

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7
Q

A set of nodes

A

vertices, singular vertex

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8
Q

Properties specific to graph structure

A

Basic Data Manipulation and Analysis
Asking well-defined questions
Data Mining
Looking for patterns
Machine Learning
Making inferences or predictions
Data Visualization
Graphical depiction
Data Collection and Preparation

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9
Q

Density of graph

A

of edges ________________________
# of possible edges

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10
Q

Maximum shortest distance in graph

A

Diameter of graph

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11
Q

Shortest path (or shortest distance)
between given pair of nodes

A

Shortest paths in graph

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12
Q

Sets of fully-connected nodes

A

Cliques in graph

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13
Q

Average shortest distance to all other nodes (inverted so higher is “better”)

A

Closeness centrality of a node in a graph

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14
Q

Number of shortest paths the node lies on

A

Betweenness centrality of a node in a graph

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15
Q

How many “followers”

A

In-degree

16
Q

How many “following”

A

Out-degree

17
Q

How often links are bidirectional

A

Reciprocity

18
Q

Predict future edges added to the graph

A

Link Prediction

19
Q

Sets of interlinked/similar nodes

A

Community Detection

20
Q

Information propagation

A

Cascades