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: "distributions for cited articles from individual subjects and years"
  Abstract: The citations to a set of academic articles are typically unevenly shared, with many articles attracting few citations and few attracting many. It is important to know more precisely how citations are distributed in order to help statistical analyses of citations, especially for sets of articles from a single discipline and a small range of years, as normally used for research evaluation. This article fits discrete versions of the power law, the lognormal distribution and the hooked power law to 20 different Scopus categories, using citations to articles published in 2004 and ignoring uncited articles. The results show that, despite its popularity, the power law is not a suitable model for collections of articles from a single subject and year, even for the purpose of estimating the slope of the tail of the citation data. Both the hooked power law and the lognormal distributions fit best for some subjects but neither is a universal optimal choice and parameter estimates for both seem to be unreliable. Hence only the hooked power law and discrete lognormal distributions should be considered for subject-and-year-based citation analysis in future and parameter estimates should always be interpreted cautiously.

Connected through hyperedge HE-1 (induced by source paper "how much research shared on facebook is hidden from public view a comparison of public and private online activity around plos one papers"):
  with members:
    - "grand challenges in altmetrics heterogeneity data quality and dependencies"
    - "interpreting altmetrics viewing acts on social media through the lens of citation and social theories"
    - "tweeting biomedicine an analysis of tweets and citations in the biomedical literature"

Connected through hyperedge HE-2 (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"
    - "brics countries and scientific excellence a bibliometric analysis of most frequently cited papers"
    - "how do you define and measure research productivity"

Connected through hyperedge HE-3 (induced by source paper "on the heterogeneous distributions in paper citations"):
  with members:
    - "skewness of citation impact data and covariates of citation distributions a large scale empirical analysis based on web of science data"
    - "citation count distributions for large monodisciplinary journals"
    - "citations indicators of quality the impact fallacy"
    - "large scale analysis of the accuracy of the journal classification systems of web of science and scopus"
    - "predicting the long term citation impact of recent publications"
    - "a review of the literature on citation impact indicators"
    - "power laws in citation distributions evidence from scopus"

Connected through hyperedge HE-4 (induced by source paper "the accuracy of confidence intervals for field normalised indicators"):
  with members:
    - "use of the journal impact factor for assessing individual articles need not be wrong"
    - "three practical field normalised alternative indicator formulae for research evaluation"
    - "conceptual difficulties in the use of statistical inference in citation analysis"
    - "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"
    - "citation count distributions for large monodisciplinary journals"
    - "national research impact indicators from mendeley readers"
    - "predicting the long term citation impact of recent publications"

Connected through hyperedge HE-5 (induced by source paper "the precision of the arithmetic mean geometric mean and percentiles for citation data an experimental simulation modelling approach"):
  with members:
    - "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"
    - "the vqr italy s second national research assessment methodological failures and ranking distortions"
    - "the relationship between the number of authors of a publication its citations and the impact factor of the publishing journal evidence from italy"
    - "more precise methods for national research citation impact comparisons"
    - "national research impact indicators from mendeley readers"
    - "tweets vs mendeley readers how do these two social media metrics differ"
    - "regression for citation data an evaluation of different methods"
    - "power laws in citation distributions evidence from scopus"

Connected through hyperedge HE-6 (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"
    - "the discretised lognormal and hooked power law distributions for complete citation data best options for modelling and regression"
    - "more precise methods for national research citation impact comparisons"
    - "geometric journal impact factors correcting for individual highly cited articles"
    - "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-7 (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"
    - "the discretised lognormal and hooked power law distributions for complete citation data best options for modelling and regression"
    - "regression for citation data an evaluation of different methods"
    - "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"

Connected through hyperedge HE-8 (induced by source paper "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"):
  with members:
    - "more precise methods for national research citation impact comparisons"
    - "geometric journal impact factors correcting for individual highly cited articles"
    - "aggregated journal journal citation relations in scopus and web of science matched and compared in terms of networks maps and interactive overlays"
    - "regression for citation data an evaluation of different methods"
    - "towards a new crown indicator some theoretical considerations"
    - "remaining problems with the new crown indicator mncs of the cwts"
    - "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)