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: "citation analysis with medical subject headings mesh using the web of knowledge a new routine"
  Abstract: Citation analysis of documents retrieved from the Medline database (at the Web of Knowledge) has been possible only on a case-by-case basis. A technique is here developed for citation analysis in batch mode using both Medical Subject Headings (MeSH) at the Web of Knowledge and the Science Citation Index at the Web of Science. This freeware routine is applied to the case of "Brugada Syndrome," a specific disease and field of research (since 1992). The journals containing these publications, for example, are attributed to Web-of-Science Categories other than "Cardiac and Cardiovascular Systems"), perhaps because of the possibility of genetic testing for this syndrome in the clinic. With this routine, all the instruments available for citation analysis can now be used on the basis of MeSH terms. Other options for crossing between Medline, WoS, and Scopus are also reviewed.

Connected through hyperedge HE-1 (induced by source paper "algorithmically generated subject categories based on citation relations an empirical micro study using papers on overall water splitting"):
  with members:
    - "granularity of algorithmically constructed publication level classifications of research publications identification of topics"
    - "which type of citation analysis generates the most accurate taxonomy of scientific and technical knowledge"
    - "a review of theory and practice in scientometrics"
    - "large scale analysis of the accuracy of the journal classification systems of web of science and scopus"
    - "a review of the literature on citation impact indicators"
    - "methods for the generation of normalized citation impact scores in bibliometrics which method best reflects the judgements of experts"
    - "on the causes of subject specific citation rates in web of science"
    - "the normalization of citation counts based on classification systems"

Connected through hyperedge HE-2 (induced by source paper "citation score normalized by cited references csncr the introduction of a new citation impact indicator"):
  with members:
    - "a review of theory and practice in scientometrics"
    - "a review of the literature on citation impact indicators"
    - "investigation of partition cells as a structural basis suitable for assessments of individual scientists"
    - "methods for the generation of normalized citation impact scores in bibliometrics which method best reflects the judgements of experts"
    - "growth in the number of references in engineering journal papers during the 1972 2013 period"
    - "on the causes of subject specific citation rates in web of science"
    - "universality of scholarly impact metrics"
    - "citation analysis may severely underestimate the impact of clinical research as compared to basic research"

Connected through hyperedge HE-3 (induced by source paper "professional and citizen bibliometrics complementarities and ambivalences in the development and use of indicators"):
  with members:
    - "a farewell to the mncs and like size independent indicators"
    - "a review of the literature on citation impact indicators"
    - "the operationalization of fields as wos subject categories wcs in evaluative bibliometrics the cases of library and information science and science technology studies"
    - "how to evaluate individual researchers working in the natural and life sciences meaningfully a proposal of methods based on percentiles of citations"
    - "citation analysis may severely underestimate the impact of clinical research as compared to basic research"
    - "a systematic empirical comparison of different approaches for normalizing citation impact indicators"
    - "the google scholar experiment how to index false papers and manipulate bibliometric indicators"
    - "the leiden ranking 2011 2012 data collection indicators and interpretation"

Connected through hyperedge HE-4 (induced by source paper "cited references and medical subject headings mesh as two different knowledge representations clustering and mappings at the paper level"):
  with members:
    - "strategic intelligence on emerging technologies scientometric overlay mapping"
    - "grand challenges in measuring and characterizing scholarly impact"
    - "a triple helix model of medical innovation supply demand and technological capabilities in terms of medical subject headings"
    - "introducing citedreferencesexplorer crexplorer a program for reference publication year spectroscopy with cited references standardization"
    - "can hot spots in the sciences be mapped using the dynamics of aggregated journal journal citation relations"
    - "a new methodology for constructing a publication level classification system of science"
    - "some modifications to the snip journal impact indicator"
    - "measuring contextual citation impact of scientific journals"

Connected through hyperedge HE-5 (induced by source paper "the operationalization of fields as wos subject categories wcs in evaluative bibliometrics the cases of library and information science and science technology studies"):
  with members:
    - "the role of handbooks in knowledge creation and diffusion a case of science and technology studies"
    - "brics countries and scientific excellence a bibliometric analysis of most frequently cited papers"
    - "the european union china and the united states in the top 1 and top 10 layers of most frequently cited publications competition and collaborations"
    - "how to evaluate individual researchers working in the natural and life sciences meaningfully a proposal of methods based on percentiles of citations"
    - "information metrics imetrics a research specialty with a socio cognitive identity"
    - "global maps of science based on the new web of science categories"
    - "the leiden ranking 2011 2012 data collection indicators and interpretation"
    - "a new methodology for constructing a publication level classification system of science"

Connected through hyperedge HE-6 (induced by source paper "how to improve the outcome of performance evaluations in terms of percentiles for citation frequencies of my papers"):
  with members:
    - "examples for counterintuitive behavior of the new citation rank indicator p100 for bibliometric evaluations"
    - "empirical evidence for the relevance of fractional scoring in the calculation of percentile rank scores"
    - "the normalization of citation counts based on classification systems"
    - "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"
    - "how much do different ways of calculating percentiles influence the derived performance indicators a case study"
    - "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"

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)