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 "the precision of the arithmetic mean geometric mean and percentiles for citation data an experimental simulation modelling approach"):
  Abstract: When comparing the citation impact of nations, departments or other groups of researchers within individual fields, three approaches have been proposed: arithmetic means, geometric means, and percentage in the top X%. This article compares the precision of these statistics using 97 trillion experimentally simulated citation counts from 6875 sets of different parameters (although all having the same scale parameter) based upon the discretised lognormal distribution with limits from 1000 repetitions for each parameter set. The results show that the geometric mean is the most precise, closely followed by the percentage of a country's articles in the top 50% most cited articles for a field, year and document type. Thus the geometric mean citation count is recommended for future citation-based comparisons between nations. The percentage of a country's articles in the top 1% most cited is a particularly imprecise indicator and is not recommended for international comparisons based on individual fields. Moreover, whereas standard confidence interval formulae for the geometric mean appear to be accurate, confidence interval formulae are less accurate and consistent for percentile indicators. These recommendations assume that the scale parameters of the samples are the same but the choice of indicator is complex and partly conceptual if they are not.

Includes members:
  Member "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":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "academic collaboration rates and citation associations vary substantially between countries and fields")
  Member "the vqr italy s second national research assessment methodological failures and ranking distortions":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "when research assessment exercises leave room for opportunistic behavior by the subjects under evaluation")
  Member "the relationship between the number of authors of a publication its citations and the impact factor of the publishing journal evidence from italy":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "academic collaboration rates and citation associations vary substantially between countries and fields")
  Member "more precise methods for national research citation impact comparisons":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "mendeley reader counts for us computer science conference papers and journal articles")
  Member "national research impact indicators from mendeley readers":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "readership data and research impact")
  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 "regression for citation data an evaluation of different methods":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "the citation advantage of linking publications to research data")
  Member "distributions for cited articles from individual subjects and years":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "how much research shared on facebook is hidden from public view a comparison of public and private online activity around plos one papers")

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)