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: "an insight into the importance of national university rankings in an international context the case of the i ugr rankings of spanish universities"
  Abstract: The great importance international rankings have achieved in the research policy arena warns against many threats consequence of the flaws and shortcomings these tools present. One of them has to do with the inability to accurately represent national university systems as their original purpose is only to rank world-class universities. Another one has to do with the lack of representativeness of universities' disciplinary profiles as they usually provide a unique table. Although some rankings offer a great coverage and others offer league tables by fields, no international ranking does both. In order to surpass such limitation from a research policy viewpoint, this paper analyzes the possibility of using national rankings in order to complement international rankings. For this, we analyze the Spanish university system as a study case presenting the I-UGR Rankings for Spanish universities by fields and subfields. Then, we compare their results with those obtained by the Shanghai Ranking, the QS Ranking, the Leiden Ranking and the NTU Ranking, as they all have basic common grounds which allow such comparison. We conclude that it is advisable to use national rankings in order to complement international rankings, however we observe that this must be done with certain caution as they differ on the methodology employed as well as on the construction of the fields.

Connected through hyperedge HE-1 (induced by source paper "analyzing the disciplinary focus of universities can rankings be a one size fits all"):
  with members:
    - "what do university rankings by fields rank exploring discrepancies between the organizational structure of universities and bibliometric classifications"
    - "does google scholar contain all highly cited documents 1950 2013"
    - "citation analysis may severely underestimate the impact of clinical research as compared to basic research"
    - "reviewers ratings and bibliometric indicators hand in hand when assessing over research proposals"
    - "the google scholar experiment how to index false papers and manipulate bibliometric indicators"
    - "mapping academic institutions according to their journal publication profile spanish universities as a case study"
    - "the leiden ranking 2011 2012 data collection indicators and interpretation"
    - "the dangers of performance based research funding in non competitive higher education systems"

Connected through hyperedge HE-2 (induced by source paper "what do university rankings by fields rank exploring discrepancies between the organizational structure of universities and bibliometric classifications"):
  with members:
    - "mapping academic institutions according to their journal publication profile spanish universities as a case study"
    - "ranking and mapping of universities and research focused institutions worldwide based on highly cited papers a visualization of results from multi level models"
    - "the leiden ranking 2011 2012 data collection indicators and interpretation"
    - "source normalized indicators of citation impact an overview of different approaches and an empirical comparison"
    - "a new methodology for constructing a publication level classification system of science"
    - "scopus s source normalized impact per paper snip versus a journal impact factor based on fractional counting of citations"
    - "towards a new crown indicator some theoretical considerations"
    - "measuring contextual citation impact of scientific journals"

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)