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: "field normalized impact factors a comparison of rescaling versus fractionally counted ifs"
  Abstract: Two methods for comparing impact factors and citation rates across fields of science are tested against each other using citations to the 3,705 journals in the Science Citation Index 2010 (CDRom version of SCI) and the 13 field categories used for the Science and Engineering Indicators of the US National Science Board. We compare (i) normalization by counting citations in proportion to the length of the reference list (1/N of references) with (ii) rescaling by dividing citation scores by the arithmetic mean of the citation rate of the cluster. Rescaling is analytical and therefore independent of the quality of the attribution to the sets, whereas fractional counting provides an empirical strategy for normalization among sets (by evaluating the between-group variance). By the fairness test of Radicchi & Castellano (2012a), rescaling outperforms fractional counting of citations for reasons that we consider.

Connected through hyperedge HE-1 (induced by source paper "how well does i3 perform for impact measurement compared to other bibliometric indicators the convergent validity of several field normalized indicators"):
  with members:
    - "which differences can be expected when two universities in the leiden ranking are compared some benchmarks for institutional research evaluations"
    - "creativity in science and the link to cited references is the creative potential of papers reflected in their cited references"
    - "revisiting relative indicators and provisional truths"
    - "which type of citation analysis generates the most accurate taxonomy of scientific and technical knowledge"
    - "citation score normalized by cited references csncr the introduction of a new citation impact indicator"
    - "a review of theory and practice in scientometrics"
    - "a review of the literature on citation impact indicators"
    - "how are excellent highly cited papers defined in bibliometrics a quantitative analysis of the literature"

Connected through hyperedge HE-2 (induced by source paper "citation score normalized by cited references csncr the introduction of a new citation impact indicator"):
  with members:
    - "a review of theory and practice in scientometrics"
    - "a review of the literature on citation impact indicators"
    - "investigation of partition cells as a structural basis suitable for assessments of individual scientists"
    - "methods for the generation of normalized citation impact scores in bibliometrics which method best reflects the judgements of experts"
    - "growth in the number of references in engineering journal papers during the 1972 2013 period"
    - "on the causes of subject specific citation rates in web of science"
    - "universality of scholarly impact metrics"
    - "citation analysis may severely underestimate the impact of clinical research as compared to basic research"

Connected through hyperedge HE-3 (induced by source paper "methods for the generation of normalized citation impact scores in bibliometrics which method best reflects the judgements of experts"):
  with members:
    - "the substantive and practical significance of citation impact differences between institutions guidelines for the analysis of percentiles using effect sizes and confidence intervals"
    - "examples for counterintuitive behavior of the new citation rank indicator p100 for bibliometric evaluations"
    - "is the new citation rank approach p100 in bibliometrics really new"
    - "on the causes of subject specific citation rates in web of science"
    - "from p100 to p100_ conception and improvement of a new citation rank approach in bibliometrics"
    - "a systematic empirical comparison of different approaches for normalizing citation impact indicators"
    - "how to calculate the practical significance of citation impact differences an empirical example from evaluative institutional bibliometrics using adjusted predictions and marginal effects"
    - "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"

Connected through hyperedge HE-4 (induced by source paper "a systematic empirical comparison of different approaches for normalizing citation impact indicators"):
  with members:
    - "citation analysis may severely underestimate the impact of clinical research as compared to basic research"
    - "on the calculation of percentile based bibliometric indicators"
    - "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"
    - "revisiting the scaling of citations for research assessment"
    - "how can journal impact factors be normalized across fields of science an assessment in terms of percentile ranks and fractional counts"
    - "some modifications to the snip journal impact indicator"
    - "fractional counting of citations in research evaluation a cross and interdisciplinary assessment of the tsinghua university in beijing"

Connected through hyperedge HE-5 (induced by source paper "the normalization of citation counts based on classification systems"):
  with members:
    - "a systematic empirical comparison of different approaches for normalizing citation impact indicators"
    - "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"

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)