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 "microsoft academic a multidisciplinary comparison of citation counts with scopus and mendeley for 29 journals"):
  Abstract: Microsoft Academic is a free citation index that allows large scale data collection. This combination makes it useful for scientometric research. Previous studies have found that its citation counts tend to be slightly larger than those of Scopus but smaller than Google Scholar, with disciplinary variations. This study reports the largest and most systematic analysis so far, of 172,752 articles in 29 large journals chosen from different specialisms. From Scopus citation counts, Microsoft Academic citation counts and Mendeley reader counts for articles published 2007–2017, Microsoft Academic found a slightly more (6%) citations than Scopus overall and especially for the current year (51%). It found fewer citations than Mendeley readers overall (59%), and only 7% as many for the current year. Differences between journals were probably due to field preprint sharing cultures or journal policies rather than broad disciplinary differences.

Includes members:
  Member "citation analysis with microsoft academic":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "influence flowers of academic entities")
  Member "three practical field normalised alternative indicator formulae for research evaluation":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "the demise of single authored publications in computer science a citation network analysis")
  Member "the coverage of microsoft academic analyzing the publication output of a university":
    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 "geometric journal impact factors correcting for individual highly cited articles":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "should citations be counted separately from each originating section")
  Member "tweets vs mendeley readers how do these two social media metrics differ":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "readership data and research impact")
  Member "how well developed are altmetrics a cross disciplinary analysis of the presence of alternative metrics in scientific publications":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "the stability of twitter metrics a study on unavailable twitter mentions of scientific publications")
  Member "towards a new crown indicator an empirical analysis":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "impact factor volatility to a single paper a comprehensive analysis")

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)