School of Computer Science

Computational Social Science


Computational social science concerns models, simulations and analysis of social phenomena that arise from economics, sociology, psychology, and social media. Our group works on investigating social and behavioural relationships and interactions through crowd modelling and simulation, network analysis, multi-agent systems, and social media mining.

Mark Wilson "My research in this area focuses on collective decision-making (which can be by human or artificial agents), with emphasis on algorithmic aspects of voting, electoral systems and resource allocation. Often agents are linked by a network (social or otherwise), and I also study diffusion of beliefs and behaviours in networks, and foundational topics in network science."

Jiamou Liu "My research focuses on MAS that involves agents who form a social structure, and the analysis of this social structure through social network analysis and game theory. Topics of interests include network evolution, evaluation of individual positions (centrality or influence) in the social network, coalition formation, information diffusion, network optimisations, communities structures and their detections, and social modelling and simulation."

Members (academic staff or PhD students):

Academic staff members:
Mark WilsonJiamou Liu

PhD students:
Yang Chen, Jaron Mar, Neda Sakhaee

More information:

We belong to the Centre of Mathematical Social Sciences, a group of researchers interested in applying mathematical and computational modelling to social sciences (particularly social choice and economics), based at the University of Auckland, but with members from Auckland University of Technology and Massey University as well.