Question 1

The more common neighbors that two nodes share, the more ______they are.

Accepted Answer

A) common 
B) similar 
C) linear 
D) versatile 
A) common 
B) similar 
C) linear 
D) versatile

Question 2

______ is the expected number of random walk steps needed to reach y starting from x ????.

Accepted Answer

A) Commute time 
B) Hitting time 
C) walking time 
D) moving time 
A) Commute time 
B) Hitting time 
C) walking time 
D) moving time

Question 3

_______ is with a simple point-and-click interface and could be used to collect data from the web.

Accepted Answer

A) Visual scraper 
B) Octoparse 
C) Gephi 
D) qlick 
A) Visual scraper 
B) Octoparse 
C) Gephi 
D) qlick

Question 4

If two individuals share a neighbor and that neighbor is a rare neighbor then similarity is

Accepted Answer

A) Preferential Attachment 
B) Jaccard Similarity 
C) Adamic-Adar similarity 
D) common neighbor 
A) Preferential Attachment 
B) Jaccard Similarity 
C) Adamic-Adar similarity 
D) common neighbor

The more common neighbors that two nodes share, the more ______they are.

______ is the expected number of random walk steps needed to reach y starting from x ????.

_______ is with a simple point-and-click interface and could be used to collect data from the web.

If two individuals share a neighbor and that neighbor is a rare neighbor then similarity is

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Exam 10: Network Analysis and Social Media

The more common neighbors that two nodes share, the more ______they are.

______ is the expected number of random walk steps needed to reach y starting from x ????.

_______ is with a simple point-and-click interface and could be used to collect data from the web.

If two individuals share a neighbor and that neighbor is a rare neighbor then similarity is

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

Social Media Analytics and Data Extraction

Social Media Analysis and Modeling Techniques

Various Aspects of Social Media and Prediction Techniques

Filters