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 based clustering of publications using citnetexplorer and vosviewer"
  Abstract: Clustering scientific publications in an important problem in bibliometric research. We demonstrate how two software tools, CitNetExplorer and VOSviewer, can be used to cluster publications and to analyze the resulting clustering solutions. CitNetExplorer is used to cluster a large set of publications in the field of astronomy and astrophysics. The publications are clustered based on direct citation relations. CitNetExplorer and VOSviewer are used together to analyze the resulting clustering solutions. Both tools use visualizations to support the analysis of the clustering solutions, with CitNetExplorer focusing on the analysis at the level of individual publications and VOSviewer focusing on the analysis at an aggregate level. The demonstration provided in this paper shows how a clustering of publications can be created and analyzed using freely available software tools. Using the approach presented in this paper, bibliometricians are able to carry out sophisticated cluster analyses without the need to have a deep knowledge of clustering techniques and without requiring advanced computer skills.

Connected through hyperedge HE-1 (induced by source paper "visualizing the context of citations referencing papers published by eugene garfield a new type of keyword co occurrence analysis"):
  with members:
    - "citation analysis with microsoft academic"
    - "the coverage of microsoft academic analyzing the publication output of a university"
    - "the research space using the career paths of scholars to predict the evolution of the research output of individuals institutions and nations"
    - "a review of theory and practice in scientometrics"
    - "methods for the generation of normalized citation impact scores in bibliometrics which method best reflects the judgements of experts"
    - "measuring impact in research evaluations a thorough discussion of methods for effects of and problems with impact measurements"
    - "citation content analysis cca a framework for syntactic and semantic analysis of citation content"
    - "text mining and visualization using vosviewer"

Connected through hyperedge HE-2 (induced by source paper "contextualization of topics browsing through the universe of bibliographic information"):
  with members:
    - "mutual information based labelling and comparing clusters"
    - "clustering articles based on semantic similarity"
    - "ariadne s thread interactive navigation in a world of networked information"
    - "contextualization of topics browsing through terms authors journals and cluster allocations"
    - "scientometrics and information retrieval weak links revitalized"
    - "the semantic mapping of words and co words in contexts"

Connected through hyperedge HE-3 (induced by source paper "memetic search for overlapping topics based on a local evaluation of link communities"):
  with members:
    - "mutual information based labelling and comparing clusters"
    - "overlapping community detection in networks the state of the art and comparative study"
    - "a new methodology for constructing a publication level classification system of science"
    - "interactive overlays a new method for generating global journal maps from web of science data"

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)