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: "the substantive and practical significance of citation impact differences between institutions guidelines for the analysis of percentiles using effect sizes and confidence intervals"
  Abstract: In this chapter we address the statistical analysis of percentiles: How should the citation impact of institutions be compared? In educational and psychological testing, percentiles are already used widely as a standard to evaluate an individual’s test scores—intelligence tests for example—by comparing them with the scores of a calibrated sample. Percentiles, or percentile rank classes, are also a very suitable method for bibliometrics to normalize citations of publications in terms of the subject category and the publication year and, unlike the mean-based indicators (the relative citation rates), percentiles are scarcely affected by skewed distributions of citations. The percentile of a certain publication provides information about the citation impact this publication has achieved in comparison to other similar publications in the same subject category and publication year. Analyses of percentiles, however, have not always been presented in the most effective and meaningful way. New APA guidelines (Association American Psychological, Publication manual of the American Psychological Association (6 ed.). Washington, DC: American Psychological Association (APA), 2010) suggest a lesser emphasis on significance tests and a greater emphasis on the substantive and practical significance of findings. Drawing on work by Cumming (Understanding the new statistics: effect sizes, confidence intervals, and meta-analysis. London: Routledge, 2012) we show how examinations of effect sizes (e.g., Cohen’s d statistic) and confidence intervals can lead to a clear understanding of citation impact differences.

Connected through hyperedge HE-1 (induced by source paper "an evaluation of percentile measures of citation impact and a proposal for making them better"):
  with members:
    - "heuristics as conceptual lens for understanding and studying the usage of bibliometrics in research evaluation"
    - "creativity in science and the link to cited references is the creative potential of papers reflected in their cited references"
    - "plots for visualizing paper impact and journal impact of single researchers in a single graph"
    - "how are excellent highly cited papers defined in bibliometrics a quantitative analysis of the literature"
    - "methods for the generation of normalized citation impact scores in bibliometrics which method best reflects the judgements of experts"
    - "how to evaluate individual researchers working in the natural and life sciences meaningfully a proposal of methods based on percentiles of citations"
    - "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"
    - "on the calculation of percentile based bibliometric indicators"

Connected through hyperedge HE-2 (induced by source paper "the integrated impact indicator i3 revisited a non parametric alternative to the journal impact factor"):
  with members:
    - "discontinuities in citation relations among journals self organized criticality as a model of scientific revolutions and change"
    - "creativity in science and the link to cited references is the creative potential of papers reflected in their cited references"
    - "use of the journal impact factor for assessing individual articles need not be wrong"
    - "can the journal impact factor be used as a criterion for the selection of junior researchers a large scale empirical study based on researcherid data"
    - "citations indicators of quality the impact fallacy"
    - "how are excellent highly cited papers defined in bibliometrics a quantitative analysis of the literature"
    - "the academic trace of the performance matrix a mathematical synthesis of the h index and the integrated impact indicator i3"
    - "caveats for using statistical significance tests in research assessments"

Connected through hyperedge HE-3 (induced by source paper "is collaboration among scientists related to the citation impact of papers because their quality increases with collaboration an analysis based on data from f1000prime and normalized citation scores"):
  with members:
    - "excellence networks in science a web based application based on bayesian multilevel logistic regression bmlr for the identification of institutions collaborating successfully"
    - "validity of altmetrics data for measuring societal impact a study using data from altmetric and f1000prime"
    - "how are excellent highly cited papers defined in bibliometrics a quantitative analysis of the literature"
    - "do altmetrics point to the broader impact of research an overview of benefits and disadvantages of altmetrics"
    - "brics countries and scientific excellence a bibliometric analysis of most frequently cited papers"
    - "on the causes of subject specific citation rates in web of science"
    - "how to calculate the practical significance of citation impact differences an empirical example from evaluative institutional bibliometrics using adjusted predictions and marginal effects"
    - "the wisdom of citing scientists"

Connected through hyperedge HE-4 (induced by source paper "conceptual difficulties in the use of statistical inference in citation analysis"):
  with members:
    - "the precision of the arithmetic mean geometric mean and percentiles for citation data an experimental simulation modelling approach"
    - "from rankings to funnel plots the question of accounting for uncertainty when assessing university research performance"
    - "funnel plots for visualizing uncertainty in the research performance of institutions"
    - "more precise methods for national research citation impact comparisons"
    - "counting publications and citations is more always better"
    - "caveats for using statistical significance tests in research assessments"
    - "the leiden ranking 2011 2012 data collection indicators and interpretation"
    - "caveats for the journal and field normalizations in the cwts leiden evaluations of research performance"

Connected through hyperedge HE-5 (induced by source paper "funnel plots for visualizing uncertainty in the research performance of institutions"):
  with members:
    - "how do you define and measure research productivity"
    - "the importance of accounting for the number of co authors and their order when assessing research performance at the individual level in the life sciences"
    - "caveats for using statistical significance tests in research assessments"
    - "what is the appropriate length of the publication period over which to assess research performance"
    - "the leiden ranking 2011 2012 data collection indicators and interpretation"
    - "revisiting size effects in higher education research productivity"
    - "the dispersion of research performance within and between universities as a potential indicator of the competitive intensity in higher education systems"
    - "revisiting the scaling of citations for research assessment"

Connected through hyperedge HE-6 (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:
    - "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"
    - "the wisdom of citing scientists"

Connected through hyperedge HE-7 (induced by source paper "validity of altmetrics data for measuring societal impact a study using data from altmetric and f1000prime"):
  with members:
    - "real time classification of twitter trends"
    - "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"
    - "the role of twitter in the life cycle of a scientific publication"
    - "is there currently a scientific revolution in scientometrics"

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)