The basic objectives of the subject are:
1. Understand the basics of networks, graphs, and families of graphs. Learn the concept of adjacency matrices and their significance.
2. Network Visualization:
Gain proficiency in designing and visualizing networks.
Explore techniques for decorating and handling large networks.
3. Descriptive Analysis of Networks:
Analyze network structures through vertex and edge characteristics.
Identify influential vertices, assess cohesion, detect communities, and understand assortativity.
Explore real-world applications of network analysis.
4. Models and Inference for Networks:
Familiarize with classical and generalized models for network representation.
Study small world models and their applications.
5. Prediction in Networks:
Learn methods for predicting network interactions using nearest neighbor approaches.
Explore alternative prediction methods in network contexts.