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IT-703 (C) RGPV B.Tech

Social Networks (SN)

Previous year papers and the official syllabus are free to read, no account needed.

Previous Year Papers

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Syllabus, notes and important questions for IT-703 (C)

Syllabus units

Topics as the official RGPV syllabus lists them.

Unit 1 Introduction 8 topics
  • Introduction to Semantic Web: Limitations of current Web
  • Development of Semantic Web
  • Emergence of the Social Web
  • Social Network analysis: Development of Social Network Analysis
  • Key concepts and measures in network analysis
  • Electronic sources for network analysis: Electronic discussion networks, blogs and online communities
  • Web‑based networks
  • Applications of Social Network Analysis
Unit 1 notes
Unit 2 Modelling, Aggregating and Knowledge Representation 8 topics
  • Ontology and their role in the Semantic Web: Ontology‑based knowledge representation
  • Ontology languages for the Semantic Web: Resource Description Framework (RDF)
  • Web Ontology Language (OWL)
  • Modelling and aggregating social network data: State‑of‑the‑art in network data representation
  • Ontological representation of social individuals
  • Ontological representation of social relationships
  • Aggregating and reasoning with social network data
  • Advanced representations
Unit 2 notes
Unit 3 Extraction and Mining Communities in Web Social Networks 9 topics
  • Extracting evolution of Web community from a series of Web archives
  • Detecting communities in social networks
  • Definition of community
  • Evaluating communities
  • Methods for community detection and mining
  • Applications of community‑mining algorithms
  • Tools for detecting communities, social network infrastructures and communities
  • Decentralized online social networks
  • Multi‑relational characterization of dynamic social network communities
Unit 3 notes
Unit 4 Predicting Human Behaviour and Privacy Issues 14 topics
  • Understanding and predicting human behaviour for social communities
  • User data management
  • Inference and distribution
  • Enabling new human experiences
  • Reality mining
  • Context awareness
  • Privacy in online social networks
  • Trust in online environment
  • Trust models based on subjective logic
  • Trust network analysis
  • Trust transitivity analysis
  • Combining trust and reputation
  • Trust derivation based on trust comparisons
  • Attack spectrum and countermeasures
Unit 4 notes
Unit 5 Visualization and Applications of Social Networks 14 topics
  • Graph theory
  • Centrality measures
  • Clustering techniques
  • Node‑Edge diagrams
  • Matrix representation of networks
  • Visualizing online social networks
  • Visualizing social networks with matrix‑based representations
  • Matrix and node‑link diagrams
  • Hybrid representations
  • Applications of network visualisation
  • Cover networks
  • Community welfare networks
  • Collaboration networks
  • Co‑citation networks
Unit 5 notes
Read the full syllabus