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This set of Social Media Analytics (SMA) Multiple Choice Questions & Answers (MCQs) focuses on Social Media Analytics Set 3

Q1 | ___________for a node is simply its degree.
  • Degree
  • Eigenvector
  • Katz
  • Closeness
Q2 | __________defines how important a node is within a network.
  • Centrality
  • Degree
  • prominence
  • None of these
Q3 | ______________ centrality takes its maximum value
  • Closeness
  • Betweenness
  • Group
  • None of these
Q4 | __________algorithm will compute shortest paths from a single node to all other nodes.
  • Betweenness
  • Brandes’
  • Dijkstra’s
  • None of these
Q5 | _____centrality is defined as the number of nodes from outside the group that are connected to group members.
  • Group degree
  • Closeness
  • Betweenness
  • None of these
Q6 | _______determines how links (edges) are formed in a social graph.
  • Transitivity
  • Reciprocity
  • Centrality
  • Linking behavior
Q7 | transitive behavior needs at least ________edges.
  • Three
  • two
  • one
  • four
Q8 | ________is a simplified version of transitivity
  • clustering coefficient
  • Reciprocity
  • Centrality
  • Transitivity
Q9 | __________considers closed loops of length 2
  • Transitivity
  • Centrality
  • Reciprocity
  • None of these
Q10 | ______ theory measures how consistent individuals are in assigning status to their neighbors.
  • Social status
  • clustering coefficient
  • Closeness
  • clustering coefficient
Q11 | When using network information, the similarity between two nodes can be computed by measuring their ________
  • structural equivalence
  • their regular equivalence.
  • both a and b
  • None of these
Q12 | In directed graphs_____________variants of degree centrality.
  • prestige
  • gregariousness
  • both a and b
  • None of these
Q13 | __________defines a normalized version of Katz centrality.
  • PageRank centrality
  • eigenvector centrality
  • Betweenness centrality
  • None of these
Q14 | ________is the behavior individuals exhibit with respect to other individuals.
  • user-user behavior
  • User-Community Behavior
  • User-Entity Behavior
  • None of these
Q15 | _______represents the interactions users have with other users
  • Link data
  • content data
  • both
  • None of these
Q16 | __________algorithms determine features that contribute the most to the prediction of the class attribute.
  • classification
  • Features selection
  • both
  • None of these
Q17 | In Behavior Analysis Methodology___________ step aims to find the relationship between features and behavior
  • An observable behavior
  • Features.
  • Feature-Behavior Association.
  • observable behavior
Q18 | __________ Modeling allow for controlled experiments and simulationsthat can help study individuals in social media
  • An observable behavior
  • Individual Behavior Modeling
  • Feature-Behavior Association.
  • None of these
Q19 | When a behavior di_x000B_uses in a network, one can use _______model
  • threshold models
  • Cascade Models
  • both
  • None of these
Q20 | _________ models are sender-centric.
  • threshold models
  • Cascade Models
  • both
  • None of these
Q21 | _________ models receiver-centric.
  • threshold models
  • Cascade Models
  • both
  • None of these
Q22 | __________ examples of individual behavior modeling.
  • Cascade Models
  • threshold models
  • None of these
  • both
Q23 | _______measures can be used to calculate similarity
  • Katz measure
  • Rooted PageRank.
  • Hitting and Commute Time
  • all of the above