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: "granularity of algorithmically constructed publication level classifications of research publications identification of topics"
  Abstract: The purpose of this study is to find a theoretically grounded, practically applicable and useful granularity level of an algorithmically constructed publication-level classification of research pub ...

Connected through hyperedge HE-1 (induced by source paper "practical method to reclassify web of science articles into unique subject categories and broad disciplines"):
  with members:
    - "a principled methodology for comparing relatedness measures for clustering publications"
    - "algorithmically generated subject categories based on citation relations an empirical micro study using papers on overall water splitting"
    - "which type of citation analysis generates the most accurate taxonomy of scientific and technical knowledge"
    - "clustering scientific publications based on citation relations a systematic comparison of different methods"
    - "large scale analysis of the accuracy of the journal classification systems of web of science and scopus"
    - "the operationalization of fields as wos subject categories wcs in evaluative bibliometrics the cases of library and information science and science technology studies"
    - "a new methodology for constructing a publication level classification system of science"

Connected through hyperedge HE-2 (induced by source paper "how to interpret algorithmically constructed topical structures of research specialties a case study comparing an internal and an external mapping of the topical structure of invasion biology"):
  with members:
    - "from louvain to leiden guaranteeing well connected communities"
    - "algorithmically generated subject categories based on citation relations an empirical micro study using papers on overall water splitting"
    - "which type of citation analysis generates the most accurate taxonomy of scientific and technical knowledge"
    - "mutual information based labelling and comparing clusters"
    - "memetic search for overlapping topics based on a local evaluation of link communities"
    - "clustering scientific publications based on citation relations a systematic comparison of different methods"
    - "a new methodology for constructing a publication level classification system of science"

Connected through hyperedge HE-3 (induced by source paper "a principled methodology for comparing relatedness measures for clustering publications"):
  with members:
    - "from louvain to leiden guaranteeing well connected communities"
    - "algorithmically generated subject categories based on citation relations an empirical micro study using papers on overall water splitting"
    - "which type of citation analysis generates the most accurate taxonomy of scientific and technical knowledge"
    - "constructing bibliometric networks a comparison between full and fractional counting"
    - "clustering scientific publications based on citation relations a systematic comparison of different methods"
    - "citnetexplorer a new software tool for analyzing and visualizing citation networks"
    - "a new methodology for constructing a publication level classification system of science"

Connected through hyperedge HE-4 (induced by source paper "large publishing consortia produce higher citation impact research but co author contributions are hard to evaluate"):
  with members:
    - "the accuracy of confidence intervals for field normalised indicators"
    - "three practical field normalised alternative indicator formulae for research evaluation"
    - "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"
    - "an empirical analysis of the use of alphabetical authorship in scientific publishing"
    - "a unified approach to mapping and clustering of bibliometric networks"

Connected through hyperedge HE-5 (induced by source paper "algorithmically generated subject categories based on citation relations an empirical micro study using papers on overall water splitting"):
  with members:
    - "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"
    - "source normalized indicators of citation impact an overview of different approaches and an empirical comparison"

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)