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: "mapping excellence in national research systems the case of italy"
  Abstract: The study of the concept of "scientific excellence" and the methods for its measurement and evaluation is taking on increasing importance in the development of research policies in many nations. However, scientific excellence results as difficult to define in both conceptual and operational terms, because of its multi-dimensional and highly complex character. The literature on the theme is limited to few studies of an almost pioneering character. This work intends to contribute to the state of the art by exploring a bibliometric methodology which is effective, simple and inexpensive, and which further identifies "excellent" centers of research by beginning from excellence of the individual researchers affiliated with such centers. The study concentrates on the specific case of public research organizations in Italy, analyzing 109 scientific categories of research in the so called "hard" sciences and identifying 157 centers of excellence operating in 60 of these categories. The findings from this first application of the methodology should be considered exploratory and indicative. With a longer period of observation and the addition of further measurements, making the methodology more robust, it can be extended and adapted to a variety of national and supranational contexts, aiding with policy decisions at various levels.

Connected through hyperedge HE-1 (induced by source paper "a methodology to compute the territorial productivity of scientists the case of italy"):
  with members:
    - "measuring science irresistible temptations easy shortcuts and dangerous consequences"
    - "a new approach to measure the scientific strengths of territories"
    - "a new bibliometric approach to assess the scientific specialization of regions"
    - "how do you define and measure research productivity"
    - "individual research performance a proposal for comparing apples to oranges"
    - "revisiting size effects in higher education research productivity"
    - "revisiting the scaling of citations for research assessment"
    - "mapping excellence in the geography of science an approach based on scopus data"

Connected through hyperedge HE-2 (induced by source paper "ranking research institutions by the number of highly cited articles per scientist"):
  with members:
    - "a sensitivity analysis of researchers productivity rankings to the time of citation observation"
    - "are the authors of highly cited articles also the most productive ones"
    - "how do you define and measure research productivity"
    - "inefficiency in selecting products for submission to national research assessment exercises"
    - "the importance of accounting for the number of co authors and their order when assessing research performance at the individual level in the life sciences"
    - "what is the appropriate length of the publication period over which to assess research performance"
    - "the leiden ranking 2011 2012 data collection indicators and interpretation"
    - "revisiting size effects in higher education research productivity"

Connected through hyperedge HE-3 (induced by source paper "are the authors of highly cited articles also the most productive ones"):
  with members:
    - "measuring science irresistible temptations easy shortcuts and dangerous consequences"
    - "individual research performance a proposal for comparing apples to oranges"
    - "the importance of accounting for the number of co authors and their order when assessing research performance at the individual level in the life sciences"
    - "revisiting the scaling of citations for research assessment"
    - "a heuristic approach to author name disambiguation in bibliometrics databases for large scale research assessments"
    - "a field standardized application of dea to national scale research assessment of universities"
    - "the relationship between scientists research performance and the degree of internationalization of their research"
    - "the contribution of star scientists to overall sex differences in research productivity"

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)