Social Media Analytics Set 13

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 13

Q1 | Predicting movie box-office revenues is an example of prediction
  • Individual behavior
  • user behavior
  • collective behavior
  • group behavior
Answer: collective behavior
Q2 | Befriending someone, playing games, following, blocking, subscribing, or chatting demonstrates and writing a blogpost or review or uploading a photo to a social media site demonstrates .
  • User-User Behavior ; User- Entity Behavior
  • User-User Behavior ; User-Community Behavior
  • User-Community Behavior ; User-Entity Behavior
  • User-Entity Behavior ; User- Community Behavior
Answer: User-User Behavior ; User- Entity Behavior
Q3 |                     methods measure how a feature can affect a phenomenon and a well known causality detection technique is called
  • Feature testing; Inferring Causality
  • Regression testing; Granger causality
  • Randomization test; Granger causality
  • Causality testing; Granger causality
Answer: Causality testing; Granger causality
Q4 | Twitter's API uses API and format.
  • REST ; JSON
  • SOAP ; XML
  • XML-RPC; JSON
  • Composite; YAML
Answer: REST ; JSON
Q5 | Facebook uses API that provides the primary means of interacting with the Social Graph.
  • XML
  • Composite
  • Graph
  • RPC
Answer: Graph
Q6 | In addition to the textual content of a tweet in Twitter, tweets come bundled with two additional pieces of metadata: and .
  • tags; text
  • entities; places
  • URLs; user mentions
  • status; user mentions
Answer: entities; places
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