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: "turning the tables in citation analysis one more time principles for comparing sets of documents"
  Abstract: We submit newly developed citation impact indicators based not on arithmetic averages of citations but on percentile ranks. Citation distributions are-as a rule-highly skewed and should not be arithmetically averaged. With percentile ranks, the citation of each paper is rated in terms of its percentile in the citation distribution. The percentile ranks approach allows for the formulation of a more abstract indicator scheme that can be used to organize and/or schematize different impact indicators according to three degrees of freedom: the selection of the reference sets, the evaluation criteria, and the choice of whether or not to define the publication sets as independent. Bibliometric data of seven principal investigators (PIs) of the Academic Medical Center of the University of Amsterdam is used as an exemplary data set. We demonstrate that the proposed indicators [R(6), R(100), R(6,k), R(100,k)] are an improvement of averages-based indicators because one can account for the shape of the distributions of citations over papers.

Connected through hyperedge HE-1 (induced by source paper "research assessment by percentile based double rank analysis"):
  with members:
    - "citation score normalized by cited references csncr the introduction of a new citation impact indicator"
    - "efficiency of research performance and the glass researcher"
    - "identifying potential breakthrough publications using refined citation analyses three related explorative approaches"
    - "a review of the literature on citation impact indicators"
    - "regression for citation data an evaluation of different methods"
    - "how are excellent highly cited papers defined in bibliometrics a quantitative analysis of the literature"
    - "distributions for cited articles from individual subjects and years"
    - "brics countries and scientific excellence a bibliometric analysis of most frequently cited papers"

Connected through hyperedge HE-2 (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-3 (induced by source paper "quality versus quantity in scientific impact"):
  with members:
    - "universality of scholarly impact metrics"
    - "towards a new crown indicator some theoretical considerations"

Connected through hyperedge HE-4 (induced by source paper "on the calculation of percentile based bibliometric indicators"):
  with members:
    - "accounting for the uncertainty in the evaluation of percentile ranks"
    - "the leiden ranking 2011 2012 data collection indicators and interpretation"
    - "percentile ranks and the integrated impact indicator i3"

Connected through hyperedge HE-5 (induced by source paper "counting publications and citations is more always better"):
  with members:
    - "on the calculation of percentile based bibliometric indicators"
    - "the inconsistency of the h index"

Connected through hyperedge HE-6 (induced by source paper "ranking and mapping of universities and research focused institutions worldwide based on highly cited papers a visualization of results from multi level models"):
  with members:
    - "on the calculation of percentile based bibliometric indicators"
    - "the use of percentiles and percentile rank classes in the analysis of bibliometric data opportunities and limits"
    - "the leiden ranking 2011 2012 data collection indicators and interpretation"
    - "mapping excellence in the geography of science an approach based on scopus data"
    - "testing differences statistically with the leiden ranking"
    - "the detection of hot regions in the geography of science a visualization approach by using density maps"
    - "mapping the geography of science distribution patterns and networks of relations among cities and institutes"

Connected through hyperedge HE-7 (induced by source paper "the citation based indicator and combined impact indicator new options for measuring impact"):
  with members:
    - "percentile ranks and the integrated impact indicator i3"
    - "towards a new crown indicator some theoretical considerations"
    - "caveats for the journal and field normalizations in the cwts leiden evaluations of research performance"
    - "rivals for the crown reply to opthof and leydesdorff"

Connected through hyperedge HE-8 (induced by source paper "an integrated impact indicator i3 a new definition of impact with policy relevance"):
  with members:
    - "towards a new crown indicator some theoretical considerations"
    - "caveats for the journal and field normalizations in the cwts leiden evaluations of research performance"
    - "can scientific journals be classified in terms of aggregated journal journal citation relations using the journal citation reports"

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)