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: "characterizing in text citations in scientific articles a large scale analysis"
  Abstract: We report characteristics of in-text citations in over five million full text articles from two large databases - the PubMed Central Open Access subset and Elsevier journals - as functions of time, textual progression, and scientific field. The purpose of this study is to understand the characteristics of in-text citations in a detailed way prior to pursuing other studies focused on answering more substantive research questions. As such, we have analyzed in-text citations in several ways and report many findings here. Perhaps most significantly, we find that there are large field-level differences that are reflected in position within the text, citation interval (or reference age), and citation counts of references. In general, the fields of Biomedical and Health Sciences, Life and Earth Sciences, and Physical Sciences and Engineering have similar reference distributions, although they vary in their specifics. The two remaining fields, Mathematics and Computer Science and Social Science and Humanities, have different reference distributions from the other three fields and between themselves. We also show that in all fields the numbers of sentences, references, and in-text mentions per article have increased over time, and that there are field-level and temporal differences in the numbers of in-text mentions per reference. A final finding is that references mentioned only once tend to be much more highly cited than those mentioned multiple times.

Connected through hyperedge HE-1 (induced by source paper "what do citation counts measure an updated review of studies on citations in scientific documents published between 2006 and 2018"):
  with members:
    - "visualizing the context of citations referencing papers published by eugene garfield a new type of keyword co occurrence analysis"
    - "creativity in science and the link to cited references is the creative potential of papers reflected in their cited references"
    - "core elements in the process of citing publications conceptual overview of the literature"
    - "can microsoft academic assess the early citation impact of in press articles a multi discipline exploratory analysis"
    - "can microsoft academic help to assess the citation impact of academic books"
    - "microsoft academic automatic document searches accuracy for journal articles and suitability for citation analysis"
    - "context sensitive article ranking with citation context analysis"
    - "measuring academic influence not all citations are equal"

Connected through hyperedge HE-2 (induced by source paper "female citation impact superiority 1996 2018 in six out of seven english speaking nations"):
  with members:
    - "do females create higher impact research scopus citations and mendeley readers for articles from five countries"
    - "gender and research publishing in india uniformly high inequality"
    - "the accuracy of confidence intervals for field normalised indicators"
    - "three practical field normalised alternative indicator formulae for research evaluation"
    - "the journal coverage of web of science and scopus a comparative analysis"
    - "an empirical analysis of the use of alphabetical authorship in scientific publishing"
    - "towards a new crown indicator some theoretical considerations"
    - "towards a new crown indicator an empirical analysis"

Connected through hyperedge HE-3 (induced by source paper "should citations be counted separately from each originating section"):
  with members:
    - "which type of citation analysis generates the most accurate taxonomy of scientific and technical knowledge"
    - "measuring academic influence not all citations are equal"
    - "geometric journal impact factors correcting for individual highly cited articles"

Connected through hyperedge HE-4 (induced by source paper "core elements in the process of citing publications conceptual overview of the literature"):
  with members:
    - "the number of linked references of publications in microsoft academic in comparison with the web of science"
    - "citation analysis with microsoft academic"
    - "the coverage of microsoft academic analyzing the publication output of a university"
    - "excellence networks in science a web based application based on bayesian multilevel logistic regression bmlr for the identification of institutions collaborating successfully"
    - "on the causes of subject specific citation rates in web of science"
    - "what is the effect of country specific characteristics on the research performance of scientific institutions using multi level statistical models to rank and map universities and research focused institutions worldwide"
    - "how to evaluate individual researchers working in the natural and life sciences meaningfully a proposal of methods based on percentiles of citations"
    - "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)