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 "field normalized impact factors a comparison of rescaling versus fractionally counted ifs"):
  Abstract: Two methods for comparing impact factors and citation rates across fields of science are tested against each other using citations to the 3,705 journals in the Science Citation Index 2010 (CDRom version of SCI) and the 13 field categories used for the Science and Engineering Indicators of the US National Science Board. We compare (i) normalization by counting citations in proportion to the length of the reference list (1/N of references) with (ii) rescaling by dividing citation scores by the arithmetic mean of the citation rate of the cluster. Rescaling is analytical and therefore independent of the quality of the attribution to the sets, whereas fractional counting provides an empirical strategy for normalization among sets (by evaluating the between-group variance). By the fairness test of Radicchi & Castellano (2012a), rescaling outperforms fractional counting of citations for reasons that we consider.

Includes members:
  Member "the weakening relationship between the impact factor and papers citations in the digital age":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "should citations be field normalized in evaluative bibliometrics an empirical analysis based on propensity score matching")
  Member "alternatives to the journal impact factor i3 and the top 10 or top 25 of the most highly cited papers":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "evaluating journal quality a review of journal citation indicators and ranking in business and management")
  Member "impact factor outdated artefact or stepping stone to journal certification":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "a novel kuhnian ontology for epistemic classification of stm scholarly articles")
  Member "the leiden ranking 2011 2012 data collection indicators and interpretation":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "an evaluation of percentile measures of citation impact and a proposal for making them better")
  Member "edited volumes monographs and book chapters in the book citation index bkci and science citation index sci sosci a hci":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "can microsoft academic help to assess the citation impact of academic books")
  Member "how can journal impact factors be normalized across fields of science an assessment in terms of percentile ranks and fractional counts":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "field normalization of scientometric indicators")
  Member "fractional counting of citations in research evaluation a cross and interdisciplinary assessment of the tsinghua university in beijing":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "comprehensive indicator comparisons intelligible to non experts the case of two snip versions")
  Member "testing differences statistically with the leiden ranking":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "the integrated impact indicator i3 revisited a non parametric alternative to the journal impact factor")

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)