Representation and analysis of publication data in the form of a network has become a common method of illustrating and evaluating the scientific output of a group or of a scientific field. The project SCI-GT proposes to study co-authorship networks (with case studies from the field of social sciences, economics, mathematics, and computer science) introducing new network representations models. Two major goals will be addressed: introduction of new measures based on cooperative game theory for the new network representations; introduction of new game theory based models for the study of strategic interaction. The game model can help us study the interaction of players, and the detection of several equilibria (for example Nash, Berge-Zhukovskii) may predict – or even recommend - behavior of players. Game theoretic models have the potential to reflect in a more realistic manner the role of the publications and their authors in the network of knowledge composed of publication data..Meet us!
Main interests: computational game theory, evolutionary algorithms
Main interests: game theory, evolutionary algorithms
Main interests: evolutionary optimization, game theory, web services composition