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: "what do university rankings by fields rank exploring discrepancies between the organizational structure of universities and bibliometric classifications"
  Abstract: University rankings by fields are usually based on the research output of universities. However, research managers and rankings consumers expect to see in such fields a reflection of the structure of their own organizational institution. In this study we address such misinterpretation by developing the research profile of the organizational units of two Spanish universities: University of Granada and Pompeu Fabra University. We use two classification systems, the subject categories offered by Thomson Scientific which are commonly used on bibliometric studies, and the 37 disciplines displayed by the Spanish I-UGR Rankings which are constructed from an aggregation of the former. We also describe in detail problems encountered when working with address data from a top down approach and we show differences between universities structures derived from the interdisciplinary organizational forms of new managerialism at universities. We conclude by highlighting that rankings by fields should clearly state the methodology for the construction of such fields. We indicate that the construction of research profiles may be a good solution for universities for finding out levels of discrepancy between organizational units and subject fields.

Connected through hyperedge HE-1 (induced by source paper "mining university rankings publication output and citation impact as their basis"):
  with members:
    - "a critical comparative analysis of five world university rankings"
    - "on the internal dynamics of the shanghai ranking"
    - "the leiden ranking 2011 2012 data collection indicators and interpretation"

Connected through hyperedge HE-2 (induced by source paper "analyzing the disciplinary focus of universities can rankings be a one size fits all"):
  with members:
    - "does google scholar contain all highly cited documents 1950 2013"
    - "an insight into the importance of national university rankings in an international context the case of the i ugr rankings of spanish universities"
    - "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"

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)