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: "how to calculate the practical significance of citation impact differences an empirical example from evaluative institutional bibliometrics using adjusted predictions and marginal effects"
  Abstract: Evaluative bibliometrics is concerned with comparing research units by using statistical procedures. According to Williams (2012) an empirical study should be concerned with the substantive and practical significance of the findings as well as the sign and statistical significance of effects. In this study we will explain what adjusted predictions and marginal effects are and how useful they are for institutional evaluative bibliometrics. As an illustration, we will calculate a regression model using publications (and citation data) produced by four universities in German-speaking countries from 1980 to 2010. We will show how these predictions and effects can be estimated and plotted, and how this makes it far easier to get a practical feel for the substantive meaning of results in evaluative bibliometric studies. We will focus particularly on Average Adjusted Predictions (AAPs), Average Marginal Effects (AMEs), Adjusted Predictions at Representative Values (APRVs) and Marginal Effects at Representative Values (MERVs).

Connected through hyperedge HE-1 (induced by source paper "do altmetrics correlate with the quality of papers a large scale empirical study based on f1000prime data"):
  with members:
    - "allegation of scientific misconduct increases twitter attention"
    - "normalization of zero inflated data an empirical analysis of a new indicator family and its use with altmetrics data"
    - "grand challenges in altmetrics heterogeneity data quality and dependencies"
    - "scholarly use of social media and altmetrics a review of the literature"
    - "social media in scholarly communication"
    - "validity of altmetrics data for measuring societal impact a study using data from altmetric and f1000prime"
    - "regression for citation data an evaluation of different methods"
    - "do altmetrics correlate with citations extensive comparison of altmetric indicators with citations from a multidisciplinary perspective"

Connected through hyperedge HE-2 (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"
    - "the substantive and practical significance of citation impact differences between institutions guidelines for the analysis of percentiles using effect sizes and confidence intervals"
    - "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"
    - "the wisdom of citing scientists"

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"
    - "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-4 (induced by source paper "regression for citation data an evaluation of different methods"):
  with members:
    - "distributions for cited articles from individual subjects and years"
    - "how well developed are altmetrics a cross disciplinary analysis of the presence of alternative metrics in scientific publications"
    - "national peer review research assessment exercises for the hard sciences can be a complete waste of money the italian case"
    - "comparison of a citation based indicator and peer review for absolute and specific measures of research group excellence"
    - "national research assessment exercises a comparison of peer review and bibliometrics rankings"
    - "towards a new crown indicator some theoretical considerations"
    - "classification and powerlaws the logarithmic transformation"
    - "the first italian research assessment exercise a bibliometric perspective"

Connected through hyperedge HE-5 (induced by source paper "the substantive and practical significance of citation impact differences between institutions guidelines for the analysis of percentiles using effect sizes and confidence intervals"):
  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"
    - "accounting for the uncertainty in the evaluation of percentile ranks"
    - "the citation based indicator and combined impact indicator new options for measuring impact"
    - "the leiden ranking 2011 2012 data collection indicators and interpretation"
    - "percentile ranks and the integrated impact indicator i3"
    - "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-6 (induced by source paper "do altmetrics point to the broader impact of research an overview of benefits and disadvantages of altmetrics"):
  with members:
    - "how well developed are altmetrics a cross disciplinary analysis of the presence of alternative metrics in scientific publications"
    - "tweeting biomedicine an analysis of tweets and citations in the biomedical literature"
    - "the role of twitter in the life cycle of a scientific publication"
    - "the google scholar experiment how to index false papers and manipulate bibliometric indicators"
    - "is there currently a scientific revolution in scientometrics"
    - "coverage and adoption of altmetrics sources in the bibliometric community"
    - "the use of percentiles and percentile rank classes in the analysis of bibliometric data opportunities and limits"
    - "altmetrics in the wild using social media to explore scholarly impact"

Connected through hyperedge HE-7 (induced by source paper "usefulness of altmetrics for measuring the broader impact of research a case study using data from plos altmetrics and f1000prime paper tags"):
  with members:
    - "validity of altmetrics data for measuring societal impact a study using data from altmetric and f1000prime"
    - "tweets vs mendeley readers how do these two social media metrics differ"
    - "do altmetrics point to the broader impact of research an overview of benefits and disadvantages of altmetrics"
    - "how well developed are altmetrics a cross disciplinary analysis of the presence of alternative metrics in scientific publications"
    - "how to evaluate individual researchers working in the natural and life sciences meaningfully a proposal of methods based on percentiles of citations"
    - "the role of twitter in the life cycle of a scientific publication"
    - "is there currently a scientific revolution in scientometrics"
    - "coverage and adoption of altmetrics sources in the bibliometric community"

Connected through hyperedge HE-8 (induced by source paper "validity of altmetrics data for measuring societal impact a study using data from altmetric and f1000prime"):
  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"
    - "real time classification of twitter trends"
    - "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)