Deck 3: Network Analysis and Behavior Modeling in Social Media

Question 1

___________for a node is simply its degree.

A)Degree
B)Eigenvector
C)Katz
D)Closeness

Answer 1

Degree

Question 2

__________defines how important a node is within a network.

A)Centrality
B)Degree
C)prominence
D)None of these

Answer 2

Centrality

Question 3

______________ centrality takes its maximum value

A)Closeness
B)Betweenness
C)Group
D)None of these

Answer 3

Betweenness

Question 4

__________algorithm will compute shortest paths from a single node to all other nodes.

A)Betweenness
B)Brandes'
C)Dijkstra's
D)None of these

Question 5

_____centrality is defined as the number of nodes from outside the group that are connected to group members.

A)Group degree
B)Closeness
C)Betweenness
D)None of these

Question 6

_______determines how links (edges) are formed in a social graph.

A)Transitivity
B)Reciprocity
C)Centrality
D)Linking behavior

Question 7

transitive behavior needs at least ________edges.

A)Three
B)two
C)one
D)four

Question 8

The________ analyzes transitivity in an undirected graph.

A)Reciprocity
B)clustering coefficient
C)Centrality
D)Closeness

Question 9

________is a simplified version of transitivity

A)clustering coefficient
B)Reciprocity
C)Centrality
D)Transitivity

Question 10

__________considers closed loops of length 2

A)Transitivity
B)Centrality
C)Reciprocity
D)None of these

Question 11

______ theory measures how consistent individuals are in assigning status to their neighbors.

A)Social status
B)clustering coefficient
C)Closeness
D)clustering coefficient.

Question 12

When using network information, the similarity between two nodes can be computed by measuring their ________

A)structural equivalence
B)their regular equivalence.
C)both a and b
D)None of these

Question 13

To compute structural equivalence, we look at the________ shared by two nodes

A)nighborhood
B)adjcent
C)same
D)None of these

Question 14

In directed graphs_____________variants of degree centrality.

A)prestige
B)gregariousness
C)both a and b
D)None of these

Question 15

__________defines a normalized version of Katz centrality.

A)PageRank centrality
B)eigenvector centrality
C)Betweenness centrality
D)None of these

Question 16

________is the behavior individuals exhibit with respect to other individuals.

A)user-user behavior
B)User-Community Behavior
C)User-Entity Behavior
D)None of these

Question 17

_______represents the interactions users have with other users

A)Link data
B)content data
C)both a & b
D)None of these

Question 18

__________algorithms determine features that contribute the most to the prediction of the class attribute.

A)classification
B)Features selection
C)both a & b
D)None of these

Question 19

In Behavior Analysis Methodology___________ step aims to find the relationship between features and behavior

A)An observable behavior
B)Features.
C)Feature-Behavior Association.
D)observable behavior

Question 20

__________ Modeling allow for controlled experiments and simulations that can help study individuals in social media

A)An observable behavior
B)Individual Behavior Modeling
C)Feature-Behavior Association.
D)None of these

Question 21

When a behavior diuses in a network, one can use _______model

A)threshold models
B)Cascade Models
C)both a & b
D)None of these

Question 22

_________ models are sender-centric.

A)threshold models
B)Cascade Models
C)both a & b
D)None of these

Question 23

_________ models receiver-centric.

A)threshold models
B)Cascade Models
C)both a & b
D)None of these

Question 24

__________ examples of individual behavior modeling.

A)Cascade Models
B)threshold models
C)None of these
D)both

Question 25

_______measures can be used to calculate similarity

A)Katz measure
B)Rooted PageRank.
C)Hitting and Commute Time
D)all of the above