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 discretised lognormal and hooked power law distributions for complete citation data best options for modelling and regression"
  Abstract: Identifying the statistical distribution that best fits citation data is important to allow robust and powerful quantitative analyses. Whilst previous studies have suggested that both the hooked power law and discretised lognormal distributions fit better than the power law and negative binomial distributions, no comparisons so far have covered all articles within a discipline, including those that are uncited. Based on an analysis of 26 different Scopus subject areas in seven different years, this article reports comparisons of the discretised lognormal and the hooked power law with citation data, adding 1 to citation counts in order to include zeros. The hooked power law fits better in two thirds of the subject/year combinations tested for journal articles that are at least three years old, including most medical, life and natural sciences, and for virtually all subject areas for younger articles. Conversely, the discretised lognormal tends to fit best for arts, humanities, social science and engineering fields. The difference between the fits of the distributions is mostly small, however, and so either could reasonably be used for modelling citation data. For regression analyses the best option is to use ordinary least squares regression applied to the natural logarithm of citation counts plus one, especially for sets of younger articles, because of the increased precision of the parameters.

Connected through hyperedge HE-1 (induced by source paper "the citation advantage of linking publications to research data"):
  with members:
    - "which type of citation analysis generates the most accurate taxonomy of scientific and technical knowledge"
    - "distortive effects of initial based name disambiguation on measurements of large scale coauthorship networks"
    - "regression for citation data an evaluation of different methods"
    - "efficient estimation of word representations in vector space"
    - "mandated data archiving greatly improves access to research data"
    - "linking to data effect on citation rates in astronomy"
    - "the numpy array a structure for efficient numerical computation"
    - "self selected or mandated open access increases citation impact for higher quality research"

Connected through hyperedge HE-2 (induced by source paper "recency predicts bursts in the evolution of author citations"):
  with members:
    - "citations indicators of quality the impact fallacy"
    - "a review of the literature on citation impact indicators"
    - "quantifying long term scientific impact"

Connected through hyperedge HE-3 (induced by source paper "on the relationships between bibliographic characteristics of scientific documents and citation and mendeley readership counts a large scale analysis of web of science publications"):
  with members:
    - "on the differences between citations and altmetrics an investigation of factors driving altmetrics vs citations for finnish articles"
    - "what makes papers visible on social media an analysis of various document characteristics"
    - "mendeley readership as a filtering tool to identify highly cited publications"
    - "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"
    - "interpreting altmetrics viewing acts on social media through the lens of citation and social theories"
    - "scholarly use of social media and altmetrics a review of the literature"
    - "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-4 (induced by source paper "could scientists use altmetric com scores to predict longer term citation counts"):
  with members:
    - "use of the journal impact factor for assessing individual articles need not be wrong"
    - "predicting the long term citation impact of recent publications"
    - "tweets vs mendeley readers how do these two social media metrics differ"
    - "usage history of scientific literature nature metrics and metrics of nature publications"
    - "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"
    - "how well developed are altmetrics a cross disciplinary analysis of the presence of alternative metrics in scientific publications"
    - "the weakening relationship between the impact factor and papers citations in the digital age"

Connected through hyperedge HE-5 (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"
    - "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"
    - "on the calculation of percentile based bibliometric indicators"

Connected through hyperedge HE-6 (induced by source paper "use of the journal impact factor for assessing individual articles need not be wrong"):
  with members:
    - "are the discretised lognormal and hooked power law distributions plausible for citation data"
    - "a review of the literature on citation impact indicators"
    - "a further step forward in measuring journals scientific prestige the sjr2 indicator"
    - "impact factor outdated artefact or stepping stone to journal certification"
    - "some modifications to the snip journal impact indicator"
    - "universality of citation distributions revisited"
    - "citations versus journal impact factor as proxy of quality could the latter ever be preferable"
    - "measuring contextual citation impact of scientific journals"

Connected through hyperedge HE-7 (induced by source paper "are there too many uncited articles zero inflated variants of the discretised lognormal and hooked power law distributions"):
  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"
    - "more precise methods for national research citation impact comparisons"
    - "geometric journal impact factors correcting for individual highly cited articles"
    - "distributions for cited articles from individual subjects and years"
    - "power laws in citation distributions evidence from scopus"
    - "on the calculation of percentile based bibliometric indicators"
    - "the leiden ranking 2011 2012 data collection indicators and interpretation"

Connected through hyperedge HE-8 (induced by source paper "are the discretised lognormal and hooked power law distributions plausible for citation data"):
  with members:
    - "publication boost in web of science journals and its effect on citation distributions"
    - "the precision of the arithmetic mean geometric mean and percentiles for citation data an experimental simulation modelling approach"
    - "regression for citation data an evaluation of different methods"
    - "distributions for cited articles from individual subjects and years"
    - "power laws in citation distributions evidence from scopus"
    - "universality of citation distributions revisited"
    - "towards a new crown indicator some theoretical considerations"
    - "towards a new crown indicator an empirical analysis"

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)