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: "rivals for the crown reply to opthof and leydesdorff"
  Abstract: We reply to the criticism of Opthof and Leydesdorff [arXiv:1002.2769] on the way in which our institute applies journal and field normalizations to citation counts. We point out why we believe most of the criticism is unjustified, but we also indicate where we think Opthof and Leydesdorff raise a valid point.

Connected through hyperedge HE-1 (induced by source paper "field normalization of scientometric indicators"):
  with members:
    - "relative citation ratio rcr an empirical attempt to study a new field normalized bibliometric indicator"
    - "citation analysis with microsoft academic"
    - "three practical field normalised alternative indicator formulae for research evaluation"
    - "a comparison of university performance scores and ranks by mncs and fss"
    - "a farewell to the mncs and like size independent indicators"
    - "citation score normalized by cited references csncr the introduction of a new citation impact indicator"
    - "national disciplinary and temporal variations in the extent to which articles with more authors have more impact evidence from a geometric field normalised citation indicator"
    - "quality versus quantity in scientific impact"

Connected through hyperedge HE-2 (induced by source paper "a system dynamics analysis of national r d performance measurement system in korea"):
  with members:
    - "on the correlation between bibliometric indicators and peer review reply to opthof and leydesdorff"
    - "caveats for the journal and field normalizations in the cwts leiden evaluations of research performance"

Connected through hyperedge HE-3 (induced by source paper "three practical field normalised alternative indicator formulae for research evaluation"):
  with members:
    - "the precision of the arithmetic mean geometric mean and percentiles for citation data an experimental simulation modelling approach"
    - "are the discretised lognormal and hooked power law distributions plausible for citation data"
    - "the discretised lognormal and hooked power law distributions for complete citation data best options for modelling and regression"
    - "are there too many uncited articles zero inflated variants of the discretised lognormal and hooked power law distributions"
    - "national disciplinary and temporal variations in the extent to which articles with more authors have more impact evidence from a geometric field normalised citation indicator"
    - "citation count distributions for large monodisciplinary journals"
    - "more precise methods for national research citation impact comparisons"
    - "national research impact indicators from mendeley readers"

Connected through hyperedge HE-4 (induced by source paper "a farewell to the mncs and like size independent indicators"):
  with members:
    - "more precise methods for national research citation impact comparisons"
    - "ranking research institutions by the number of highly cited articles per scientist"
    - "how do you define and measure research productivity"
    - "assessing the accuracy of the h and g indexes for measuring researchers productivity"
    - "national scale research performance assessment at the individual level"
    - "cwts crown indicator measures citation impact of a research group s publication oeuvre"
    - "towards a new crown indicator some theoretical considerations"
    - "caveats for the journal and field normalizations in the cwts leiden evaluations of research performance"

Connected through hyperedge HE-5 (induced by source paper "a review of the literature on citation impact indicators"):
  with members:
    - "a sensitivity analysis of researchers productivity rankings to the time of citation observation"
    - "the precision of the arithmetic mean geometric mean and percentiles for citation data an experimental simulation modelling approach"
    - "the journal coverage of web of science and scopus a comparative analysis"
    - "measuring academic influence not all citations are equal"
    - "a review of theory and practice in scientometrics"
    - "comprehensive indicator comparisons intelligible to non experts the case of two snip versions"
    - "methods for estimating the size of google scholar"
    - "large scale analysis of the accuracy of the journal classification systems of web of science and scopus"

Connected through hyperedge HE-6 (induced by source paper "a review of theory and practice in scientometrics"):
  with members:
    - "identifying research fields within business and management a journal cross citation analysis"
    - "patents as instruments for exploring innovation dynamics geographic and technological perspectives on photovoltaic cells"
    - "the operationalization of fields as wos subject categories wcs in evaluative bibliometrics the cases of library and information science and science technology studies"
    - "do altmetrics point to the broader impact of research an overview of benefits and disadvantages of altmetrics"
    - "a systematic empirical comparison of different approaches for normalizing citation impact indicators"
    - "which percentile based approach should be preferred for calculating normalized citation impact values an empirical comparison of five approaches including a newly developed citation rank approach p100"
    - "the revised snip indicator of elsevier s scopus"
    - "interactive overlays of journals and the measurement of interdisciplinarity on the basis of aggregated journal journal citations"

Connected through hyperedge HE-7 (induced by source paper "identifying research fields within business and management a journal cross citation analysis"):
  with members:
    - "some modifications to the snip journal impact indicator"
    - "how journal rankings can suppress interdisciplinary research a comparison between innovation studies and business management"
    - "scopus s source normalized impact per paper snip versus a journal impact factor based on fractional counting of citations"
    - "cwts crown indicator measures citation impact of a research group s publication oeuvre"
    - "measuring contextual citation impact of scientific journals"
    - "can scientific journals be classified in terms of aggregated journal journal citation relations using the journal citation reports"

Connected through hyperedge HE-8 (induced by source paper "an indicator of journal impact that is based on calculating a journal s percentage of highly cited publications"):
  with members:
    - "measuring contextual citation impact of scientific journals"
    - "the sjr indicator a new indicator of journals scientific prestige"

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)