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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What is the minimum no. of variables/ features required to perform clustering?
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PageRank is based on the 'random suffer' idea and the web is seen as a markov chain
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In any directed graph if all edges are reciprocal, can have maximum of |E|=
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