Social Network Analysis (SNA)

New

Application forms should be returned to CDH Learning (learning@cdh.cam.ac.uk).

Social Network Analysis (SNA) is an exciting and rapidly growing methodology. You will find researchers in almost every faculty at the University of Cambridge applying SNA methods within their research. However, SNA researchers can only go so far before they must learn a coding language. Many SNA tools- descriptive metrics, visualisation techniques, and mathematical models- require researchers to use R. This session is for those researchers interested in SNA methods, but lack experience in the R environment.

While network visualisation is just one component of SNA, data visualisation can be a great gateway into a new programming language. This session will introduce you to the R environment by leading you through the creation of static network diagrams. The session is directed at beginners and basic R users that want to explore SNA tools in R.

This workshop is open to graduate students and staff at the University of Cambridge. PhD students and Early Career Researchers have priority for the scheme, but applications from MPhil students are welcome to apply.

Number of sessions: 2