human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "interdisciplinary research collaborations evaluation of a funding program"
  Abstract: Innovative ideas are often situated where disciplines meet, and socio-economic problems generally require contributions from several disciplines. Ways to stimulate interdisciplinary research collaborations are therefore an increasing point of attention for science policy. There is concern that ‘regular’ funding programs, involving advice from disciplinary experts and discipline-bound viewpoints, may not adequately stimulate, select or evaluate this kind of research. This has led to specific policies aimed at interdisciplinary research in many countries. There is however at this moment no generally accepted method to adequately select and evaluate interdisciplinary research. In the vast context of different forms of interdisciplinarity, this paper aims to contribute to the debate on best practices to stimulate and support interdisciplinary research collaborations. It describes the selection procedures and results of a university program supporting networks formed 'bottom up', integrating expertise from different disciplines. The program’s recent evaluation indicates that it is successful in selecting and supporting the interdisciplinary synergies aimed for, responding to a need experienced in the field. The analysis further confirms that potential for interdisciplinary collaboration is present in all disciplines.

Question: Please tell me which class the center node belongs to. The 40 classes are: cs.NA(Numerical Analysis), cs.MM(Multimedia), cs.LO(Logic in Computer Science), cs.CY(Computers and Society), cs.CR(Cryptography and Security), cs.DC(Distributed, Parallel, and Cluster Computing), cs.HC(Human-Computer Interaction), cs.CE(Computational Engineering, Finance, and Science), cs.NI(Networking and Internet Architecture), cs.CC(Computational Complexity), cs.AI(Artificial Intelligence), cs.MA(Multiagent Systems), cs.GL(General Literature), cs.NE(Neural and Evolutionary Computing), cs.SC(Symbolic Computation), cs.AR(Hardware Architecture), cs.CV(Computer Vision and Pattern Recognition), cs.GR(Graphics), cs.ET(Emerging Technologies), cs.SY(Systems and Control), cs.CG(Computational Geometry), cs.OH(Other Computer Science), cs.PL(Programming Languages), cs.SE(Software Engineering), cs.LG(Machine Learning), cs.SD(Sound), cs.SI(Social and Information Networks), cs.RO(Robotics), cs.IT(Information Theory), cs.PF(Performance), cs.CL(Computation and Language), cs.IR(Information Retrieval), cs.MS(Mathematical Software), cs.FL(Formal Languages and Automata Theory), cs.DS(Data Structures and Algorithms), cs.OS(Operating Systems), cs.GT(Computer Science and Game Theory), cs.DB(Databases), cs.DL(Digital Libraries), cs.DM(Discrete Mathematics). Directly output the class name.

gpt: cs.DL(Digital Libraries)