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: "the number of linked references of publications in microsoft academic in comparison with the web of science"
  Abstract: In the context of a comprehensive Microsoft Academic (MA) study, we explored in an initial step the quality of linked references data in MA in comparison with Web of Science (WoS). Linked references are the backbone of bibliometrics, because they are the basis of the times cited information in citation indexes. We found that the concordance of linked references between MA and WoS ranges from weak to nonexistent for the full sample (publications of the University of Zurich with less than 50 linked references in MA). An analysis with a sample restricted to less than 50 linked references in WoS showed a strong agreement between linked references in MA and WoS.

Connected through hyperedge HE-1 (induced by source paper "core elements in the process of citing publications conceptual overview of the literature"):
  with members:
    - "citation analysis with microsoft academic"
    - "characterizing in text citations in scientific articles a large scale analysis"
    - "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"

Connected through hyperedge HE-2 (induced by source paper "microsoft academic automatic document searches accuracy for journal articles and suitability for citation analysis"):
  with members:
    - "microsoft academic a multidisciplinary comparison of citation counts with scopus and mendeley for 29 journals"
    - "citation analysis with microsoft academic"
    - "three practical field normalised alternative indicator formulae for research evaluation"
    - "the coverage of microsoft academic analyzing the publication output of a university"
    - "the journal coverage of web of science and scopus a comparative analysis"
    - "geometric journal impact factors correcting for individual highly cited articles"
    - "the google scholar experiment how to index false papers and manipulate bibliometric indicators"
    - "towards a new crown indicator some theoretical considerations"

Connected through hyperedge HE-3 (induced by source paper "the concordance of field normalized scores based on web of science and microsoft academic data a case study in computer sciences"):
  with members:
    - "can microsoft academic assess the early citation impact of in press articles a multi discipline exploratory analysis"
    - "microsoft academic automatic document searches accuracy for journal articles and suitability for citation analysis"
    - "microsoft academic a multidisciplinary comparison of citation counts with scopus and mendeley for 29 journals"
    - "citation analysis with microsoft academic"
    - "the coverage of microsoft academic analyzing the publication output of a university"
    - "a review of the literature on citation impact indicators"
    - "towards a new crown indicator some theoretical considerations"

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)