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: "a new methodology for comparing google scholar and scopus"
  Abstract: A new methodology is proposed for comparing Google Scholar (GS) with other citation indexes. It focuses on the coverage and citation impact of sources, indexing speed, and data quality, including the effect of duplicate citation counts. The method compares GS with Elsevier's Scopus, and is applied to a limited set of articles published in 12 journals from six subject fields, so that its findings cannot be generalized to all journals or fields. The study is exploratory, and hypothesis generating rather than hypothesis-testing. It confirms findings on source coverage and citation impact obtained in earlier studies. The ratio of GS over Scopus citation varies across subject fields between 1.0 and 4.0, while Open Access journals in the sample show higher ratios than their non-OA counterparts. The linear correlation between GS and Scopus citation counts at the article level is high: Pearson's R is in the range of 0.8-0.9. A median Scopus indexing delay of two months compared to GS is largely though not exclusively due to missing cited references in articles in press in Scopus. The effect of double citation counts in GS due to multiple citations with identical or substantially similar meta-data occurs in less than 2 per cent of cases. Pros and cons of article-based and what is termed as concept-based citation indexes are discussed.

Connected through hyperedge HE-1 (induced by source paper "prevalence of potentially predatory publishing in scopus on the country level"):
  with members:
    - "trends in russian research output indexed in scopus and web of science"
    - "the journal coverage of web of science and scopus a comparative analysis"
    - "a review of the literature on citation impact indicators"
    - "a further step forward in measuring journals scientific prestige the sjr2 indicator"
    - "some modifications to the snip journal impact indicator"

Connected through hyperedge HE-2 (induced by source paper "hunting for supernovae articles in the universe of scientometrics"):
  with members:
    - "google scholar web of science and scopus a systematic comparison of citations in 252 subject categories"
    - "the google scholar experiment how to index false papers and manipulate bibliometric indicators"
    - "comparing bibliometric statistics obtained from the web of science and scopus"

Connected through hyperedge HE-3 (induced by source paper "coverage of highly cited documents in google scholar web of science and scopus a multidisciplinary comparison"):
  with members:
    - "evidence of open access of scientific publications in google scholar a large scale analysis"
    - "google scholar as a data source for research assessment"
    - "can we use google scholar to identify highly cited documents"
    - "the accuracy of confidence intervals for field normalised indicators"
    - "three practical field normalised alternative indicator formulae for research evaluation"
    - "a two sided academic landscape portrait of highly cited documents in google scholar 1950 2013"
    - "the journal coverage of web of science and scopus a comparative analysis"
    - "methods for estimating the size of google scholar"

Connected through hyperedge HE-4 (induced by source paper "google scholar as a data source for research assessment"):
  with members:
    - "can we use google scholar to identify highly cited documents"
    - "a two sided academic landscape portrait of highly cited documents in google scholar 1950 2013"
    - "2016 google scholar metrics released a matter of languages and something else"
    - "methods for estimating the size of google scholar"
    - "google scholar metrics 2014 a low cost bibliometric tool"
    - "does google scholar contain all highly cited documents 1950 2013"
    - "h index of scientific nursing journals according to google scholar metrics 2007 2011"
    - "ranking journals could google scholar metrics be an alternative to journal citation reports and scimago journal rank"

Connected through hyperedge HE-5 (induced by source paper "google scholar web of science and scopus a systematic comparison of citations in 252 subject categories"):
  with members:
    - "coverage of highly cited documents in google scholar web of science and scopus a multidisciplinary comparison"
    - "google scholar as a data source for research assessment"
    - "the journal coverage of web of science and scopus a comparative analysis"
    - "methods for estimating the size of google scholar"
    - "the google scholar experiment how to index false papers and manipulate bibliometric indicators"

Connected through hyperedge HE-6 (induced by source paper "the coverage of microsoft academic analyzing the publication output of a university"):
  with members:
    - "leveraging citation networks to visualize scholarly influence over time"
    - "citation analysis with microsoft academic"
    - "semantometrics towards fulltext based research evaluation"
    - "quantifying the diaspora of knowledge in the last century"
    - "ranking academic institutions on potential paper acceptance in upcoming conferences"
    - "ensemble enabled weighted pagerank"
    - "simplified relative citation ratio for static paper ranking ufmg latin at wsdm cup 2016"
    - "predicting the future relevance of research institutions the winning solution of the kdd cup 2016"

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)