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 journal coverage of web of science and scopus a comparative analysis"
  Abstract: Bibliometric methods are used in multiple fields for a variety of purposes, namely for research evaluation. Most bibliometric analyses have in common their data sources: Thomson Reuters' Web of Science (WoS) and Elsevier's Scopus. The objective of this research is to describe the journal coverage of those two databases and to assess whether some field, publishing country and language are over or underrepresented. To do this we compared the coverage of active scholarly journals in WoS (13,605 journals) and Scopus (20,346 journals) with Ulrich's extensive periodical directory (63,013 journals). Results indicate that the use of either WoS or Scopus for research evaluation may introduce biases that favor Natural Sciences and Engineering as well as Biomedical Research to the detriment of Social Sciences and Arts and Humanities. Similarly, English-language journals are overrepresented to the detriment of other languages. While both databases share these biases, their coverage differs substantially. As a consequence, the results of bibliometric analyses may vary depending on the database used. These results imply that in the context of comparative research evaluation, WoS and Scopus should be used with caution, especially when comparing different fields, institutions, countries or languages. The bibliometric community should continue its efforts to develop methods and indicators that include scientific output that are not covered in WoS or Scopus, such as field-specific and national citation indexes.

Connected through hyperedge HE-1 (induced by source paper "a tale of two databases the use of web of science and scopus in academic papers"):
  with members:
    - "funding information in web of science an updated overview"
    - "google scholar web of science and scopus a systematic comparison of citations in 252 subject categories"
    - "missing author address information in web of science an explorative study"
    - "trends in russian research output indexed in scopus and web of science"
    - "book reviews in academic journals patterns and dynamics"
    - "publish or impoverish an investigation of the monetary reward system of science in china 1999 2016"
    - "large scale analysis of the accuracy of the journal classification systems of web of science and scopus"
    - "global maps of science based on the new web of science categories"

Connected through hyperedge HE-2 (induced by source paper "funding information in web of science an updated overview"):
  with members:
    - "solving multiple criteria r d project selection problems with a data driven evidential reasoning rule"
    - "missing author address information in web of science an explorative study"
    - "funding acknowledgment analysis queries and caveats"
    - "the sum of it all revealing collaboration patterns by combining authorship and acknowledgements"
    - "characterization description and considerations for the use of funding acknowledgement data in web of science"

Connected through hyperedge HE-3 (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"
    - "a new methodology for comparing google scholar and scopus"
    - "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-4 (induced by source paper "academic collaboration rates and citation associations vary substantially between countries and fields"):
  with members:
    - "dimensions a competitor to scopus and the web of science"
    - "google scholar web of science and scopus a systematic comparison of citations in 252 subject categories"
    - "international research collaboration novelty conventionality and atypicality in knowledge recombination"
    - "the relationship among research productivity research collaboration and their determinants"
    - "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"
    - "national disciplinary and temporal variations in the extent to which articles with more authors have more impact evidence from a geometric field normalised citation indicator"
    - "the relationship between the number of authors of a publication its citations and the impact factor of the publishing journal evidence from italy"

Connected through hyperedge HE-5 (induced by source paper "female citation impact superiority 1996 2018 in six out of seven english speaking nations"):
  with members:
    - "do females create higher impact research scopus citations and mendeley readers for articles from five countries"
    - "gender and research publishing in india uniformly high inequality"
    - "the accuracy of confidence intervals for field normalised indicators"
    - "characterizing in text citations in scientific articles a large scale analysis"
    - "three practical field normalised alternative indicator formulae for research evaluation"
    - "an empirical analysis of the use of alphabetical authorship in scientific publishing"
    - "towards a new crown indicator some theoretical considerations"
    - "towards a new crown indicator an empirical analysis"

Connected through hyperedge HE-6 (induced by source paper "historical comparison of gender inequality in scientific careers across countries and disciplines"):
  with members:
    - "the misleading narrative of the canonical faculty productivity trajectory"
    - "gender productivity and prestige in computer science faculty hiring networks"
    - "quantifying long term scientific impact"
    - "gender differences in research productivity a bibliometric analysis of the italian academic system"
    - "the contribution of star scientists to overall sex differences in research productivity"

Connected through hyperedge HE-7 (induced by source paper "blockchain applications in power systems a bibliometric analysis"):
  with members:
    - "integrating privacy enhancing techniques into blockchains using sidechains"
    - "smart grid cyber attacks detection using supervised learning and heuristic feature selection"
    - "a secure and efficient direct power load control framework based on blockchain"
    - "review of blockchain technology and its expectations case of the energy sector"
    - "network function virtualization state of the art and research challenges"

Connected through hyperedge HE-8 (induced by source paper "deepbird an automatic bibliographic reference detection approach"):
  with members:
    - "parsrec a novel meta learning approach to recommending bibliographic reference parsers"
    - "mask r cnn"
    - "faster r cnn towards real time object detection with region proposal networks"
    - "fully convolutional networks for semantic segmentation"

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)