8 July 2016
Introduction to Applied Network Analysis
Network Analysis focuses on the relationships that exist between units of analysis, and studies those relationships through the tools of Graph Theory. This course will introduce the participants to Applied Network Analysis concentrating on measurement, data collection and manipulation, description and visualization of networks. Some inferential statistical techniques will be presented at the end of the course. Examples will be drawn from economics, political science, and sociology, and replication exercises will be discussed in class and implemented by the participants. The course has a hands-on character: R libraries will be used most of the time, with some incursion into Stata, and Pajek and Gephi, for large networks visualizations.
Students, researchers, business professionals who need to develop good quality surveys and/or need to apply appropriate and up-to-date statistical methods. At the conclusion of the Summer School, participants will receive a certificate for each course and with the number of hours attended.
Network Analysis is a rapidly growing field among quantitative social sciences. Networks permeated everyday life and contemporary social phenomena are increasingly represented as networks: from the participation to online social media, to the structure of relations in a working environment, to the description of political movements, to the analysis of the diffusion of banking crises. The boundaries of Network Science go well beyond social sciences, including applications to history, biology, glottology, mathematics and computer science.
EUR 0: Several Rates (check website)