Social Media Analytics Set 12

Information Technology Engineering (IT)

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This set of Social Media Analytics (SMA) Multiple Choice Questions & Answers (MCQs) focuses on Social Media Analytics Set 12

Q1 | What is/are the input(s) to k-means clustering?
  • number of clusters
  • distance metric
  • feature vectors of instances
  • All of the above
Answer: All of the above
Q2 | Which measure ranks nodes with more connections higher in terms of centrality?
  • Group Centrality
  • Degree Centrality
  • Eigenvector Centrality
  • None of the above
Answer: Degree Centrality
Q3 | What is used for measuring and analyzing transitivity?
  • Clustering Coefficient
  • Local Clustering Coefficient
  • Graph Coefficient
  • Both a and b
Answer: Both a and b
Q4 | What defines a centrality measure for the nodes (webpages) in this web-graph?
  • Eigenvector Centrality
  • Katz Centrality
  • PageRank
  • Group Centrality
Answer: PageRank
Q5 | In , two nodes are considered similar when they share neighborhoods.
  • structural equivalence
  • regular equivalence
  • Reciprocity
  • None of the above
Answer: structural equivalence
Q6 | In , nodes are similar when their neighborhoods are similar.
  • transitivity
  • centrality
  • regular equivalence
  • structural equivalence
Answer: regular equivalence
Q7 | Which type of centrality generalizes degree centrality and considers individuals who know many important nodes as central?
  • Eigenvector Centrality
  • Group Centrality
  • Degree Centrality
  • Katz Centrality
Answer: Eigenvector Centrality
Q8 | Users exhibit different behaviors on social media: and .
  • Individual behavior; Collective behavior
  • Individual behavior; Group behavior
  • User behavior ; community behavior
  • Online user behavior; Group behavior
Answer: Individual behavior; Collective behavior
Q9 | Individual online behavior is classified into how many categories?
  • 2
  • 3
  • 5
  • 4
Answer: 3
Q10 | What are the categories of Individual Behavior?
  • User-User Behavior and User- Community Behavior
  • User-Group Behavior and User-Entity Behavior
  • User-User Behavior, User-Community Behavior and User- Entity Behavior
  • None of the above
Answer: User-User Behavior, User-Community Behavior and User- Entity Behavior
Q11 | In Individual behavior, User-User Bahevior is the behavior individuals exhibit with respect to other
  • entity
  • social media
  • community
  • individuals
Answer: individuals
Q12 | In Individual behavior, the target of User-Community behavior is
  • entity in social media
  • community
  • individuals
  • Both a and b
Answer: community
Q13 | In Individual behavior, the target of User-Entity behavior is
  • individuals
  • community
  • entity in social media
  • user
Answer: entity in social media
Q14 | What is Individual Behavior Analysis?
  • It helps to understand how different factors affect indivdual behaviors observed online.
  • It helps to understand indivdual behaviors in community.
  • It helps to understand behavior of community and entity in social media
  • None of the above
Answer: It helps to understand how different factors affect indivdual behaviors observed online.
Q15 | Which type of analysis is used for analyzing content?
  • Link analysis
  • Link prediction
  • Node analysis
  • Text analysis
Answer: Text analysis
Q16 | Users often join different communities in social media; the act of becoming a community member is an example of
  • User-User Behavior
  • User-Community Behavior
  • User-Entity Behavior
  • None of the above
Answer: User-Community Behavior
Q17 | Which are the steps used to perform behavioral analysis?
  • Feature Analysis and Evaluation Strategy
  • Observable behavior, Feature-Behavior Association and Evaluation Strategy
  • An observable behavior, Features, Feature-Behavior Association and Evaluation Strategy
  • Defining features and Observing individual behavior
Answer: An observable behavior, Features, Feature-Behavior Association and Evaluation Strategy
Q18 | A well-known causality detection technique is
  • Granger causality
  • system causality
  • statistical causality
  • algorithmic causality
Answer: Granger causality
Q19 | Which are the models of individual behavior used in Individual Behavior Modeling?
  • Jaccard Similarity, Common Neighbors
  • Preferential Attachment, Jaccard Similarity
  • Threshold models, Cascade Models
  • None of the above
Answer: Threshold models, Cascade Models
Q20 | When a behavior diffuses in a network, such as the behavior of individuals buying a product and referring it to others, one can use models.
  • threshold
  • cascade
  • game theory
  • network
Answer: threshold
Q21 | Which are the Node Neighborhood-Based Methods used for computing the similarity between two nodes?
  • Adamic and Adar Measure
  • Jaccard Similarity
  • Preferential Attachment
  • All of the above
Answer: All of the above
Q22 | Which are the methods based on paths between nodes that are used to calculate similarity?
  • Katz measure
  • Hitting and Commute Time
  • Rooted PageRank, SimRank
  • All of the above
Answer: All of the above
Q23 | Which are the types of migration that take place in social media sites?
  • Site Migration
  • Attention Migration
  • Both a and b
  • None of the above
Answer: Both a and b
Q24 | Collective Behavior Modelling can be performed via models, and
  • cascade
  • threshold
  • network
  • Both a and b
Answer: network
Q25 | Which are the features that can be considered for User Migration in social media?
  • User network size and user status
  • user activity on one site, user network size, and user rank
  • User activity on different sites
  • None of the above
Answer: user activity on one site, user network size, and user rank
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