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Social computing

Social computing is an interdisciplinary field that sits at the intersection of computer science and disciplines that study human behaviour.

Social computing

It aims to understand collaboration and interaction observed via social-technical systems such as online social networks and web-enabled applications.

Examples of research that we conduct include:

  • machine classification of human generated content in Web-enabled systems
  • statistical modelling of social processes and content propagation in online social networks
  • understanding human personality and behaviour
  • studying interaction with smartphones
  • measuring evolution of cooperation
  • real-time computational analytics to assess risk to human safety.

This priority area is underpinned by activities of the Social Data Science Lab and the Mobile and Social Computing Lab.

Priority area leader

Pete Burnap

Professor Pete Burnap

Professor of Data Science & Cybersecurity