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 "statistical significance and effect sizes of differences among research universities at the level of nations and worldwide based on the leiden rankings"):
  Abstract: One can use the Leiden Rankings for grouping research universities by considering universities which are not significantly different as a homogeneous set. Such groupings reduce the complexity of the rankings without losing information. We pursue this classification using both statistical significance and effect sizes of differences among 902 universities in 54 countries, we focus on the UK, Germany, and Brazil as national examples. Although the groupings remain largely the same using different statistical significance levels, the resulting classifications are uncorrelated with the ones based on effect sizes (Cramer's V < .3). Effect sizes for the differences between universities are small (w <.2). The results based on statistical-significance testing can be understood intuitively. However, the results based on effect sizes suggest a division between a North-Atlantic and an Asian-Pacific group. The more detailed analysis of universities at the country level suggests that distinctions between more than three groups of universities (high, middle, low) are not meaningful.

Includes members:
  Member "conceptual difficulties in the use of statistical inference in citation analysis":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "the accuracy of confidence intervals for field normalised indicators")
  Member "from rankings to funnel plots the question of accounting for uncertainty when assessing university research performance":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "the research production of nations and departments a statistical model for the share of publications")
  Member "the european union china and the united states in the top 1 and top 10 layers of most frequently cited publications competition and collaborations":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "on the challenges ahead of spatial scientometrics focusing on the city level")
  Member "caveats for using statistical significance tests in research assessments":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "analyzing linguistic complexity and scientific impact")
  Member "the leiden ranking 2011 2012 data collection indicators and interpretation":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "an evaluation of percentile measures of citation impact and a proposal for making them better")
  Member "testing differences statistically with the leiden ranking":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "the integrated impact indicator i3 revisited a non parametric alternative to the journal impact factor")
  Member "measuring contextual citation impact of scientific journals":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "how well does i3 perform for impact measurement compared to other bibliometric indicators the convergent validity of several field normalized indicators")

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)