This repository contains presentations and R scripts for the Faculty Development Programme on "NETWORK SCIENCE: FOUNDATION OF SOCIAL NETWORK ANALYSIS" organised by TEACHING LEARNING CENTER, Ramanujan College, and Department of Computer Science, University of Delhi during December 3-8, 2018.
From Network Science Lab (http://people.du.ac.in/~vbhatnagar/NetworkScienceLab/NSLab.htm): Prof. Vasudha Bhatnagar, Dr. Sharanjit Kaur, Rakhi Saxena, Swagata Duari, and Kirti Jain.
- .R : R scripts.
- .csv/.Rda/.txt : graph data in csv/rdata/txt format, usually saved as data frame of edgelists.
- .pdf/.pptx : Slides for theory as well as practical.
- Introduction to Network Science and Topological Properties of Graph (Theory)
- Introduction to R and Network Science (Practical)
- Centrality Measures (Theory)
- Topological Properties and Centrality Measures (Practical)
- Community Detection (Theory)
- Introduction to Community Detection using R (Practical)
- Generative Models (Theory)
- Generative Models (Practical)
- Introduction to Information Diffusion (Theory)
- Recap and Practice (Practical)