B.TechSemester 62024-25Social Media Analytics And Data AnalysisBCAM061
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Social Media Analytics And Data Analysis (BCAM061) - AKTU Question Paper 2024-25

B.Tech · Semester 6 · Free PDF Download

This is the official AKTU Social Media Analytics And Data Analysis Previous Year Question Paper for B.Tech Semester 6, academic session 2024-25. Published by Dr. A.P.J. Abdul Kalam Technical University (AKTU/UPTU), Lucknow. Free PDF download — no login required.

Course:B.Tech
Semester:Semester 6
Session:2024-25
University:AKTU / UPTU

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Questions Asked in 2024-25

Social Media Analytics And Data Analysis (BCAM061) — complete question paper · 70 marks · 3 Hours

Section AAttempt all q u e s t i o n s i n b r i e f . 02 x 7 = 14
  • a
    Define Social Media Analyti cs (SMA) and explain its primary objective
  • b
    What is an adjacency matrix, and how is it used to represent a graph?
  • c
    With help of an example prove the importance of equivalence in network structures?
  • d
    What is the concept of "struct ural holes" in social network theory and how does it influence network connectivity?
  • e
    What is Influence Maximization in social networks, and why is it important for viral marketing strategies?
  • f
    Compare between Small and Large organizations in terms of Soci al Media Analytics (SMA) application
  • g
    Define the concept of “distan ce” in a graph and explain its significance in graph theory
Section BAttempt any three o f t h e f o l l o w i n g : 07 x 3 = 21
  • a
    Discuss the role and significance of Social Media Analytics in both small and large organizations. How do th e needs and strategies differ a c r o s s different scales?
  • b
    Describe random graphs and network evolution. What are some key models used to represent random graph generation and how does t he network evolve over time?
  • c
    Describe the concept of citation networks and explain their role in academic research. How do citation networks evolve, and what ar e their characteristics in terms of connectivity and structure?
  • d
    Evaluate the use of Google Analytics for analyzing website p erformance. Discuss its key implementation technologies, limitations, and p rivacy concerns. How does Google Website Optimizer enhance the perform ance analysis of a website?
  • e
    Explain the concept of Collective Classification in network data. How does it differ from traditional classification methods, and wha t are its applications in social network analysis?
Section CAttempt any one p a r t o f t h e f o l l o w i n g : 07 x 1 = 07
  • a
    Explain the different types of social networks (e.g., user-g enerated content, affiliation) and discuss how each can be used for mark eting and business analysis. Provide examples from popular social media platforms
  • b
    Describe the basics of Web S earch Engines and Digital Advertising. How do these technologies interact wi th Social Media to enhance bus iness models and marketing strategies?
  • a
    Discuss the process and significance of Breadth-First Search ( B F S ) i n graph traversal. How can BFS be used to determine connectivity in a graph?
  • b
    Explain the concept of link an alysis in network datasets. How can nodes, ties, and influencers be analyzed to understand the structure o f a social or communication network?
  • a
    Explain the concept of clustering in networks. How do cluste ring coefficients help in understanding network structures? Provide real-life examples of clustering in social or biological networks
  • b
    Discuss the process of snowball sampling and its application in network studies. How does it compare to random walks in network sampling?
  • a
    Discuss the key differences between predictive and descriptive modeling in the context of social networks. Provide examples of each and explai n their significance in understanding social behaviors
  • b
    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
  • a
    Describe the process of A/B testing in online advertising. How can it be used to optimize user experience and improve conversion rates? Discuss the challenges and limitations of A/B testing in a real-world context
  • b
    Discuss the role of Natural L anguage Processing (NLP) techniques in micro-text analysis on social media. How do NLP methods help in understanding trends, identifying social influencers, and analyzing opinion 5spread in social networks?

Question text is extracted from the official AKTU question paper PDF above. Hindi translations are omitted — every question is printed in English in the original paper. Last verified: 2026-08-23.

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Syllabus & More PYQs

Paper solve karne se pehle unit-wise syllabus dekh lo

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