Question 1

Which type of centrality generalizes degree centrality and considers individuals who know many important nodes as central?

Accepted Answer

A) Eigenvector Centrality 
B) Group Centrality 
C) Degree Centrality 
D) Katz Centrality 
A) Eigenvector Centrality 
B) Group Centrality 
C) Degree Centrality 
D) Katz Centrality A

Question 2

In , two nodes are considered similar when they share neighborhoods.

Accepted Answer

A) structural equivalence 
B) regular equivalence 
C) Reciprocity 
D) None of the above 
A) structural equivalence 
B) regular equivalence 
C) Reciprocity 
D) None of the above A

Question 3

A well-known causality detection technique is

Accepted Answer

A) Granger causality 
B) system causality 
C) statistical causality 
D) algorithmic causality 
A) Granger causality 
B) system causality 
C) statistical causality 
D) algorithmic causality A

Question 4

Which are the steps used to perform behavioral analysis?

Accepted Answer

A) Feature Analysis and Evaluation Strategy 
B) Observable behavior, Feature-Behavior Association and Evaluation Strategy 
C) An observable behavior, Features, Feature-Behavior Association and Evaluation Strategy 
D) Defining features and Observing individual behavior 
A) Feature Analysis and Evaluation Strategy 
B) Observable behavior, Feature-Behavior Association and Evaluation Strategy 
C) An observable behavior, Features, Feature-Behavior Association and Evaluation Strategy 
D) Defining features and Observing individual behavior

Question 5

What is/are the input(s) to k-means clustering?

Accepted Answer

A) number of clusters 
B) distance metric 
C) feature vectors of instances 
D) All of the above 
A) number of clusters 
B) distance metric 
C) feature vectors of instances 
D) All of the above

Question 6

What defines a centrality measure for the nodes (webpages) in this web-graph?

Accepted Answer

A) Eigenvector Centrality 
B) Katz Centrality 
C) PageRank 
D) Group Centrality 
A) Eigenvector Centrality 
B) Katz Centrality 
C) PageRank 
D) Group Centrality

Question 7

Individual online behavior is classified into how many categories?

Accepted Answer

A) 2 
B) 3 
C) 5 
D) 4 
A) 2 
B) 3 
C) 5 
D) 4

Question 8

In Individual behavior, the target of User-Entity behavior is

Accepted Answer

A) individuals 
B) community 
C) entity in social media 
D) user 
A) individuals 
B) community 
C) entity in social media 
D) user

Question 9

Which are the types of migration that take place in social media sites?

Accepted Answer

A) Site Migration 
B) Attention Migration 
C) Both a and b 
D) None of the above 
A) Site Migration 
B) Attention Migration 
C) Both a and b 
D) None of the above

Question 10

Users exhibit different behaviors on social media: and .

Accepted Answer

A) Individual behavior; Collective behavior 
B) Individual behavior; Group behavior 
C) User behavior ; community behavior 
D) Online user behavior; Group behavior 
A) Individual behavior; Collective behavior 
B) Individual behavior; Group behavior 
C) User behavior ; community behavior 
D) Online user behavior; Group behavior

Question 11

Which are the Node Neighborhood-Based Methods used for computing the similarity between two nodes?

Accepted Answer

A) Adamic and Adar Measure 
B) Jaccard Similarity 
C) Preferential Attachment 
D) All of the above 
A) Adamic and Adar Measure 
B) Jaccard Similarity 
C) Preferential Attachment 
D) All of the above

Question 12

Which measure ranks nodes with more connections higher in terms of centrality?

Accepted Answer

A) Group Centrality 
B) Degree Centrality 
C) Eigenvector Centrality 
D) None of the above 
A) Group Centrality 
B) Degree Centrality 
C) Eigenvector Centrality 
D) None of the above

Question 13

In Individual behavior, User-User Bahevior is the behavior individuals exhibit with respect to other

Accepted Answer

A) entity 
B) social media 
C) community 
D) individuals 
A) entity 
B) social media 
C) community 
D) individuals

Question 14

What is Individual Behavior Analysis?

Accepted Answer

A) It helps to understand how different factors affect indivdual behaviors observed online. 
B) It helps to understand indivdual behaviors in community. 
C) It helps to understand behavior of community and entity in social media 
D) None of the above 
A) It helps to understand how different factors affect indivdual behaviors observed online. 
B) It helps to understand indivdual behaviors in community. 
C) It helps to understand behavior of community and entity in social media 
D) None of the above

Question 15

Which are the methods based on paths between nodes that are used to calculate similarity?

Accepted Answer

A) Katz measure 
B) Hitting and Commute Time 
C) Rooted PageRank, SimRank 
D) All of the above 
A) Katz measure 
B) Hitting and Commute Time 
C) Rooted PageRank, SimRank 
D) All of the above

Question 16

In Individual behavior, the target of User-Community behavior is

Accepted Answer

A) entity in social media 
B) community 
C) individuals 
D) Both a and b 
A) entity in social media 
B) community 
C) individuals 
D) Both a and b

Question 17

Which type of analysis is used for analyzing content?

Accepted Answer

A) Link analysis 
B) Link prediction 
C) Node analysis 
D) Text analysis 
A) Link analysis 
B) Link prediction 
C) Node analysis 
D) Text analysis

Question 18

Collective Behavior Modelling can be performed via models, and

Accepted Answer

A) cascade 
B) threshold 
C) network 
D) Both a and b 
A) cascade 
B) threshold 
C) network 
D) Both a and b

Question 19

What are the categories of Individual Behavior?

Accepted Answer

A) User-User Behavior and User- Community Behavior 
B) User-Group Behavior and User-Entity Behavior 
C) User-User Behavior, User-Community Behavior and User- Entity Behavior 
D) None of the above 
A) User-User Behavior and User- Community Behavior 
B) User-Group Behavior and User-Entity Behavior 
C) User-User Behavior, User-Community Behavior and User- Entity Behavior 
D) None of the above

Question 20

Users often join different communities in social media; the act of becoming a community member is an example of

Accepted Answer

A) User-User Behavior 
B) User-Community Behavior 
C) User-Entity Behavior 
D) None of the above 
A) User-User Behavior 
B) User-Community Behavior 
C) User-Entity Behavior 
D) None of the above

Which type of centrality generalizes degree centrality and considers individuals who know many important nodes as central?

In , two nodes are considered similar when they share neighborhoods.

A well-known causality detection technique is

Which are the steps used to perform behavioral analysis?

What is/are the input(s) to k-means clustering?

What defines a centrality measure for the nodes (webpages) in this web-graph?

Individual online behavior is classified into how many categories?

In Individual behavior, the target of User-Entity behavior is

Which are the types of migration that take place in social media sites?

Users exhibit different behaviors on social media: and .

Which are the Node Neighborhood-Based Methods used for computing the similarity between two nodes?

Which measure ranks nodes with more connections higher in terms of centrality?

In Individual behavior, User-User Bahevior is the behavior individuals exhibit with respect to other

What is Individual Behavior Analysis?

Which are the methods based on paths between nodes that are used to calculate similarity?

In Individual behavior, the target of User-Community behavior is

Which type of analysis is used for analyzing content?

Collective Behavior Modelling can be performed via models, and

What are the categories of Individual Behavior?

Users often join different communities in social media; the act of becoming a community member is an example of

Media, Analytics, and Data Mining Techniques

Social Network Analysis and Clustering Algorithms

Network Analysis and Behavior Modeling in Social Media

Exploring User Migration, Security, and Data Mining in Social Media Sites

Data Mining and Clustering: Key Concepts and Tasks

Social Media and Networking

Exploring Network Visualization and Analysis Tools: Techniques, Measures, and Applications

Data Mining and Network Analysis: Key Concepts and Techniques

Network Analysis and Individual Behavior: Understanding Centrality, Transitivity, and Social Dynamics

Network Analysis and Social Media

Social Media Analytics and Data Extraction

Various Aspects of Social Media and Prediction Techniques

Filters

Exam 12: Social Media Analysis and Modeling Techniques

Which type of centrality generalizes degree centrality and considers individuals who know many important nodes as central?

In , two nodes are considered similar when they share neighborhoods.

A well-known causality detection technique is

Which are the steps used to perform behavioral analysis?

What is/are the input(s) to k-means clustering?

What defines a centrality measure for the nodes (webpages) in this web-graph?

Individual online behavior is classified into how many categories?

In Individual behavior, the target of User-Entity behavior is

Which are the types of migration that take place in social media sites?

Users exhibit different behaviors on social media: and .

Which are the Node Neighborhood-Based Methods used for computing the similarity between two nodes?

Which measure ranks nodes with more connections higher in terms of centrality?

In Individual behavior, User-User Bahevior is the behavior individuals exhibit with respect to other

What is Individual Behavior Analysis?

Which are the methods based on paths between nodes that are used to calculate similarity?

In Individual behavior, the target of User-Community behavior is

Which type of analysis is used for analyzing content?

Collective Behavior Modelling can be performed via models, and

What are the categories of Individual Behavior?

Users often join different communities in social media; the act of becoming a community member is an example of

Media, Analytics, and Data Mining Techniques

Social Network Analysis and Clustering Algorithms

Network Analysis and Behavior Modeling in Social Media

Exploring User Migration, Security, and Data Mining in Social Media Sites

Data Mining and Clustering: Key Concepts and Tasks

Social Media and Networking

Exploring Network Visualization and Analysis Tools: Techniques, Measures, and Applications

Data Mining and Network Analysis: Key Concepts and Techniques

Network Analysis and Individual Behavior: Understanding Centrality, Transitivity, and Social Dynamics

Network Analysis and Social Media

Social Media Analytics and Data Extraction

Various Aspects of Social Media and Prediction Techniques

Filters