and the analysis and presentation of network data. Students will work directly with network data, and structure and analyse these data using R. Social networks have always been at the centre of human ...

The primary goal of the course is not to learn advanced programming for social network analysis (SNA), but to learn to interpret and gain actionable insights from the results of network analysis. This ...

The course has no formal pre-requisites but will be most beneficial to students who have had an introductory statistics course covering descriptives for central tendencies and dispersion, correlation, ...

The new method, Weighted Graph Anomalous Node Detection (WGAND), takes inspiration from social network analysis and is designed to identify proteins with significant roles in various human tissues.

Social networks have always been at the centre of human interaction, but especially with the explosive growth of the internet, network analysis has become increasingly central to all branches of the ...