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 european union china and the united states in the top 1 and top 10 layers of most frequently cited publications competition and collaborations"):
  Abstract: The percentages of shares of world publications of the European Union and its member states, China, and the United States have been represented differently as a result of using different databases. An analytical variant of the Web-of-Science (of Thomson Reuters) enables us to study the dynamics in the world publication system in terms of the field-normalized top-1% and top-10% most-frequently-cited publications. Comparing the EU28, USA, and China at the global level shows a top-level dynamics that is different from the analysis in terms of shares of publications: the United States remains far more productive in the top-1% of all papers; China drops out of the competition for elite status; and the EU28 increased its share among the top-cited papers from 2000-2010. Some of the EU28 member states overtook the U.S. during this decade, but a clear divide remains between EU15 (Western Europe) and the Accession Countries. Network analysis shows that internationally co-authored top-1% publications perform far above expectation and also above top-10% ones. In 2005, China was embedded in this top-layer of internationally co-authored publications. These publications often involve more than a single European nation.

Includes members:
  Member "how are excellent highly cited papers defined in bibliometrics a quantitative analysis of the literature":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "an evaluation of percentile measures of citation impact and a proposal for making them better")
  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 "how have the eastern european countries of the former warsaw pact developed since 1990 a bibliometric study":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "the evolution of sentiment analysis a review of research topics venues and top cited papers")
  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 use of percentiles and percentile rank classes in the analysis of bibliometric data opportunities and limits":
    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 "the leiden ranking 2011 2012 data collection indicators and interpretation":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "an evaluation of percentile measures of citation impact and a proposal for making them better")
  Member "publish or patent bibliometric evidence for empirical trade offs in national funding strategies":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "data mining the foundational patents of photovoltaic materials an application of patent citation spectroscopy")
  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)