An introduction to Social Network Analysis: Methods and Applications
Network science has evolved significantly over the past decades as a leading scientific field to understand and analyse complex systems, which affects our daily life, such as infrastructure and transportation networks, Internet, epidemic spreading and immunization strategies, structure of financial markets, structure of mobile communication network, opinion dynamics. This presentation briefly introduces various concepts, methods, and applications of social network analysis (SNA). Topics to be discussed include an introduction to graph theory and the use of directed graphs to study structural theories of actor interrelations; structural and locational properties of actors (e.g., centrality measures); measuring networks; and a brief introduction to network models. Some examples of using SNA to study academic collaborations and disaster response operations will be presented.