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 operationalization of fields as wos subject categories wcs in evaluative bibliometrics the cases of library and information science and science technology studies"):
  Abstract: Normalization of citation scores using reference sets based on Web-of-Science Subject Categories (WCs) has become an established ("best") practice in evaluative bibliometrics. For example, the Times Higher Education World University Rankings are, among other things, based on this operationalization. However, WCs were developed decades ago for the purpose of information retrieval and evolved incrementally with the database; the classification is machine-based and partially manually corrected. Using the WC "information science & library science" and the WCs attributed to journals in the field of "science and technology studies," we show that WCs do not provide sufficient analytical clarity to carry bibliometric normalization in evaluation practices because of "indexer effects." Can the compliance with "best practices" be replaced with an ambition to develop "best possible practices"? New research questions can then be envisaged.

Includes members:
  Member "the role of handbooks in knowledge creation and diffusion a case of science and technology studies":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "reviewing indicating and counting books for modern research evaluation systems")
  Member "brics countries and scientific excellence a bibliometric analysis of most frequently cited papers":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "research assessment by percentile based double rank analysis")
  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 "how to evaluate individual researchers working in the natural and life sciences meaningfully a proposal of methods based on percentiles of citations":
    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 "information metrics imetrics a research specialty with a socio cognitive identity":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "interdisciplinarity as diversity in citation patterns among journals rao stirling diversity relative variety and the gini coefficient")
  Member "global maps of science based on the new web of science categories":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "science through wikipedia a novel representation of open knowledge through co citation networks")
  Member "the leiden ranking 2011 2012 data collection indicators and interpretation":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "an evaluation of percentile measures of citation impact and a proposal for making them better")
  Member "citation analysis with medical subject headings mesh using the web of knowledge a new routine":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "algorithmically generated subject categories based on citation relations an empirical micro study using papers on overall water splitting")

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)