human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "dimensions a competitor to scopus and the web of science"):
  Abstract: Abstract   Dimensions is a partly free scholarly database launched by Digital Science in January 2018. Dimensions includes journal articles and citation counts, making it a potential new source of impact data. This article explores the value of Dimensions from an impact assessment perspective with an examination of Food Science research 2008–2018 and a random sample of 10,000 Scopus articles from 2012. The results include high correlations between citation counts from Scopus and Dimensions (0.96 by narrow field in 2012) as well as similar average counts. Almost all Scopus articles with DOIs were found in Dimensions (97% in 2012). Thus, the scholarly database component of Dimensions seems to be a plausible alternative to Scopus and the Web of Science for general citation analyses and for citation data in support of some types of research evaluations.

Includes members:
  Member "microsoft academic automatic document searches accuracy for journal articles and suitability for citation analysis":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "what do citation counts measure an updated review of studies on citations in scientific documents published between 2006 and 2018")
  Member "can we use google scholar to identify highly cited documents":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "author level metrics in the new academic profile platforms the online behaviour of the bibliometrics community")
  Member "citation analysis with microsoft academic":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "influence flowers of academic entities")
  Member "the journal coverage of web of science and scopus a comparative analysis":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "a tale of two databases the use of web of science and scopus in academic papers")
  Member "more precise methods for national research citation impact comparisons":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "mendeley reader counts for us computer science conference papers and journal articles")
  Member "a review of the literature on citation impact indicators":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "unbiased evaluation of ranking metrics reveals consistent performance in science and technology citation data")
  Member "tweets vs mendeley readers how do these two social media metrics differ":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "readership data and research impact")
  Member "do altmetrics correlate with citations extensive comparison of altmetric indicators with citations from a multidisciplinary perspective":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "the stability of twitter metrics a study on unavailable twitter mentions of scientific publications")

Question: Please tell me which class the source paper 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)