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IT-703 (C) · Social Networks/Official Syllabus

Social Networks (IT-703 (C)) - Official Syllabus

1
Unit 1

Introduction

  • 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
2
Unit 2

Modelling, Aggregating and Knowledge Representation

  • Ontology and their role in the Semantic Web: Ontology-based knowledge Representation
  • Ontology languages for the Semantic Web: Resource Description Framework - Web Ontology Language
  • 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
3
Unit 3

Extraction and Mining Communities in Web Social Networks

  • Extracting evolution of Web Community from a Series of Web Archive - 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 - MultiRelational characterization of dynamic social network communities
4
Unit 4

Predicting Human Behaviour and Privacy Issues

  • 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
5
Unit 5

Visualization and Applications of Social Networks

  • Graph theory - Centrality - Clustering - Node-Edge Diagrams - Matrix representation
  • Visualizing online social networks, Visualizing social networks with matrix-based representations - Matrix and Node-Link Diagrams - Hybrid representations
  • Applications - Cover networks - Community welfare - Collaboration networks - Co-Citation networks

Reference Books

  • Computational Social Network Analysis: Trends, Tools and Research Advances
  • Handbook of Social Network Technologies and Applications
  • Social Network Data Analytics
  • Advances in Social Network Mining and Analysis
  • Web Mining and Social Networking – Techniques and applications
  • Social Networks and the Semantic Web
  • Applications of Social Media and Social Network Analysis
  • Social Network Analysis for Startups
  • Understanding Social Networks
  • Social Network Analysis: Theory and Applications
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