human: Given a node-centered hypergraph: <hypergraph>, where nodes represent authors and hyperedges represent groups of authors who co-authored the same paper.

Details of the hypergraph:
Center node: "Behaviour-preserving transition insertions in unfolding prefixes"
  Abstract: Some design methods based on Petri nets modify the original specification by behaviour-preserving insertion of new transitions. If the unfolding prefix is used to analyse the net, it has to be re-unfolded after each modification, which is detrimental for the overall performance.

The approach presented in this paper applies the transformations directly to the unfolding prefix, thus avoiding re-unfolding. This also helps in visualisation, since the application of a transformation directly to the prefix changes it in a way that was 'intuitively expected' by the user, while re-unfolding can dramatically change the shape of the prefix. Moreover, rigourous validity checks for several kinds of transition insertions are developed. These checks are performed on the original unfolding prefix, so one never has to backtrack due to the choice of a transformation which does not preserve the behaviour.

Connected through hyperedge HE-1 (induced by source paper "Efficient Automatic Resolution of Encoding Conflicts Using STG Unfoldings"):
  with members:
    (none)

Question: Please tell me which research area the center author belongs to. The 4 classes are: Computer science, Mathematics, Engineering, Economics, Psychology, Business. Directly output the class name.

gpt: Computer science