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Social Media Analytics and Data Analysis (BCAM061) important questions and topics for AKTU

These are ranked by how often AKTU repeats them across 1 papers. Repeated questions and "very likely" topics are the safest marks in the exam.

Most repeated Social Media Analytics and Data Analysis questions

  • Discuss the process and significance of Breadth-First Search (BFS) in graph traversal. How can BFS be used to determine connectivity in a graph? (7 marks, 2025, Graph Theory Basics)
  • Explain the different types of social networks (e.g., user-generated content, affiliation) and discuss how each can be used for marketing and business analysis. Provide examples from popular social media platforms. (7 marks, 2025, Types of Social Networks)
  • Explain the concept of link analysis in network datasets. How can nodes, ties, and influencers be analyzed to understand the structure of a social or communication network? (7 marks, 2025, Nodes Ties and Influencers)
  • Explain the concept of Collective Classification in network data. How does it differ from traditional classification methods, and what are its applications in social network analysis? (7 marks, 2025, Processing and Visualizing Data)
  • Explain the concept of structural balance in social networks. How does it apply to understanding relationships within a network? Discuss how structural balance can be useful in identifying community dynamics or conflicts. (7 marks, 2025, Social Contexts and Capital)

High-probability Social Media Analytics and Data Analysis topics

  • Graph Theory Basics (Unit 2: Graphs and Matrices) – asked 3 times in 2025
  • SMA in Organisations (Unit 1: Introduction to Social Media) – asked 2 times in 2025
  • Network Structures (Unit 3: Network Fundamentals) – asked 2 times in 2025