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Last updated:

September 25, 2023


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This course includes:

Unlimited Duration

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Complex Network: Theory and Application. Instructor: Prof. Animesh Mukherjee, Department of Computer Science and Engineering, IIT Kharagpur.

This course covers lessons in network analysis, properties of social networks, community analysis, and case study of citation networks. Study of the models and behaviors of networked systems. Empirical studies of social, biological, technological and information networks. Exploring the concepts of small world effect, degree distribution, clustering, network correlations, node centrality, and community structure of networks. This will be followed by detailed case study of citation networks. Types of network: Social networks, Information networks, Technological networks, Biological networks, Citation Networks. Properties of network: Small world effect, transitivity and clustering, degree distribution, scale free networks, maximum degree; mixing patterns; degree correlations; community structures; node centrality. (from nptel.ac.in)

Course Curriculum

  • Lecture 01 – Introduction Unlimited
  • Lecture 02 – Network Analysis I: Degree of Distribution: The Case of Citation Networks Unlimited
  • Lecture 03 – Network Analysis II: Clustering Coefficient, Centrality Unlimited
  • Lecture 04 – Network Analysis III: Centrality (Betweenness, Flow Betweenness, Eigenvector) Unlimited
  • Lecture 05 – Network Analysis IV: Eigenvector Centrality, PageRank Unlimited
  • Lecture 06 – Network Analysis V: PageRank, Hubs and Authorities Unlimited
  • Lecture 07 – Network Analysis VI: Co-citation Index, Rich-Club Coefficient, … Unlimited
  • Lecture 08 – Social Network Principles I: Assortativity/Homophily, Signed Graphs Unlimited
  • Lecture 09 – Social Network Principles II: Social Cohesiveness, Social Roles Unlimited
  • Lecture 10 – Social Network Principles III: Social Roles – Equivalences Unlimited
  • Lecture 11 – Social Network Principles IV: Social Roles – Equivalences (cont.) Unlimited
  • Lecture 12 – Community Analysis I Unlimited
  • Lecture 13 – Community Analysis II: Bisective Approach Unlimited
  • Lecture 14 – Community Analysis III: Bisection Method – Edge Betweenness Unlimited
  • Lecture 15 – Community Analysis IV: Modularity Optimization Unlimited
  • Lecture 16 – Community Analysis V: Spectral Bisection Unlimited
  • Lecture 17 – Community Analysis VI: Spectral Bisection (cont.) Unlimited
  • Lecture 18 – Citation Analysis I: Citation Networks Unlimited
  • Lecture 19 – Citation Analysis II: Citation Diversity Index Unlimited
  • Lecture 20 – Citation Analysis III: Citation Profiles, Citation Prediction Unlimited
  • Lecture 21 – Citation Analysis IV Unlimited

About the instructor

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