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IT-703 (C) · Social Networks/Unsolved PYQ Paper

IT-703-C Social Networks - Nov 2023 Question Paper

Under each question, How to answer lists the points an answer should cover, outlined by CampusPrep from the syllabus. Check the details against your textbook.

  1. 7 Marks
    aExplain about the Emergence of the Social Web.
    How to answer
    • Define Social Web and Web 2.0 context
    • Timeline of emergence: blogs, wikis, social networking sites
    • Key enabling technologies and user participation
    • Characteristics: user-generated content, collaboration, sharing
  2. 7 Marks
    bWrite about the importance of Social Network Analysis.
    How to answer
    • Define Social Network Analysis (SNA)
    • Importance for structure, influence and community detection
    • Applications in marketing, security, recommendation
    • Role in understanding information diffusion
  3. 7 Marks
    aWrite briefly about several types of web-based networks.
    How to answer
    • Define web-based networks
    • Types: social, information, communication, collaboration networks
    • Brief features of each type
    • Examples of platforms
  4. 7 Marks
    bWhat is meant by RDF and RDF Schema in Ontology languages for the Semantic Web?
    How to answer
    • Define RDF: triples subject-predicate-object
    • Define RDF Schema: classes, properties, hierarchy
    • Role in Semantic Web ontology languages
    • Example of RDF/RDFS usage
  5. 7 Marks
    aWrite about the unique features of Web Ontology Language (OWL).
    How to answer
    • Define Web Ontology Language (OWL)
    • Unique features vs RDF/RDFS: expressiveness, reasoning
    • Sub-languages OWL Lite, DL, Full
    • Constructs: classes, restrictions, properties, logic
  6. 7 Marks
    bHow FOAF provides a foundation for ontological representation of social individuals and their relationships?
    How to answer
    • Define FOAF vocabulary
    • Core classes: Person, Agent and properties
    • Representation of social individuals and links
    • Role as foundation for social Semantic Web
  7. 7 Marks
    aExplain how evolution metrics are measured in Extracting evolution of Web Community from a Series of Web Archive?
    How to answer
    • Define Web Community evolution and Web Archive
    • Evolution metrics: growth, stability, change rates
    • Measurement procedure from series of archives
    • Interpretation for community tracking
  8. 7 Marks
    bWrite about the concept of a community that can be defined in various ways local, global and definitions based on vertex.
    How to answer
    • Define community in networks
    • Local definitions: clique, cluster
    • Global definitions: partition, modularity
    • Vertex-based definitions: centrality, membership
  9. 7 Marks
    aDiscuss about the Network Reduction.
    How to answer
    • Define Network Reduction
    • Need for reduction in large networks
    • Methods: sampling, aggregation, pruning
    • Impact on analysis efficiency
  10. 7 Marks
    bWrite about the following in Enabling new human experiences.
    1. i)Social Networks
    2. ii)Reality Mining
    3. iii)Context Awareness
    How to answer
    • Link to enabling new human experiences
    • Social Networks: connectivity and collaboration
    • Reality Mining: sensor and behavioural data
    • Context Awareness: adaptive services
  11. 7 Marks
    aDiscuss about Privacy in online social networks.
    How to answer
    • Define privacy risks in online social networks
    • Types of privacy threats and disclosure
    • Privacy settings and policies
    • Best practices and challenges
  12. 7 Marks
    bDiscuss about the following in Attack spectrum and counter measures:
    1. i)Plain Impersonation
    2. ii)Profile Cloning
    3. iii)Profile Hijacking
    4. iv)Profile Porting
    How to answer
    • Define attack spectrum in social networks
    • Explain Plain Impersonation, Cloning, Hijacking, Porting
    • Countermeasures for each attack
    • Detection and prevention strategies
  13. 7 Marks
    aExplain about the types of Centrality and Clustering.
    How to answer
    • Define centrality: degree, betweenness, closeness, eigenvector
    • Define clustering and clustering coefficient
    • Types and computation
    • Role in social network analysis
  14. 7 Marks
    bWrite in briefly about Matrix representation.
    How to answer
    • Define matrix representation of networks
    • Adjacency matrix and incidence matrix
    • Example with small graph
    • Use in analysis and computation
  15. 14 Marks
    Write a short note on any Two
    1. i)Email Groups
    2. ii)Censorship Attacks
    3. iii)Challenges for DOSNs
    4. iv)RSS Feads
    How to answer
    • Select any two topics from list
    • Define each with key features
    • Give examples and applications
    • Mention challenges or relevance to social networks
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