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)
Lecture 08 - Social Network Principles I: Assortativity/Homophily, Signed Graphs