Exam 2: Social Network Analysis and Clustering Algorithms
Exam 1: Media, Analytics, and Data Mining Techniques23 Questions
Exam 2: Social Network Analysis and Clustering Algorithms25 Questions
Exam 3: Network Analysis and Behavior Modeling in Social Media25 Questions
Exam 4: Exploring User Migration, Security, and Data Mining in Social Media Sites25 Questions
Exam 5: Data Mining and Clustering: Key Concepts and Tasks23 Questions
Exam 6: Social Media and Networking24 Questions
Exam 7: Exploring Network Visualization and Analysis Tools: Techniques, Measures, and Applications24 Questions
Exam 8: Data Mining and Network Analysis: Key Concepts and Techniques25 Questions
Exam 9: Network Analysis and Individual Behavior: Understanding Centrality, Transitivity, and Social Dynamics25 Questions
Exam 10: Network Analysis and Social Media24 Questions
Exam 11: Social Media Analytics and Data Extraction25 Questions
Exam 12: Social Media Analysis and Modeling Techniques25 Questions
Exam 13: Various Aspects of Social Media and Prediction Techniques6 Questions
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Transitivity is the tendency for friend of friends to be friend and enemy of enemy to be enemy
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True
Which of the following algorithm is most sensitive to outliers?
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A
In case the documents do not share any attributes or words, the cosine similarity results in……….
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C
vertices that have a high probability of occurring on a randomly chosen shortest path between two nodes are said to have high
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The first step when marketing with social networks is to identify the goals and strategies.
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The number of actors outside the group that are connected to the member of that group is
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The most popular social networking website twitter makes use of HITS algorithm in suggesting user account to follow
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Which social network is considered the most popular for business to business marketing?
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Is it possible that Assignment of observations to clusters does not change between successive iterations in K-Means
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Which of the following method is used for finding optimal of cluster in K-Mean algorithm?
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A pair of nodes said to be structurally equivalent to the extent that
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Social Status theory measures how inconsistent individuals are in assigning status to their neighbors.
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Which of the following are the high and low bounds for the existence of F-Score?
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For two runs of K-Mean clustering is it expected to get same clustering results?
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