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 negative effects of citing with a national orientation in terms of recognition national and international citations in natural sciences papers from germany the netherlands and the uk"):
  Abstract: Nations can be distinguished in terms of whether domestic or international research is cited. We analyzed the research output in natural sciences of three leading European research economies (Germany, the Netherlands, and the UK) and ask where their researchers look for the knowledge that underpins their most highly-cited papers. Is one internationally oriented or is citation limited to national resources? Do the citation patterns reflect a growing differentiation between the domestic and international research enterprise? To evaluate change over time, we include natural-sciences papers published in the countries from three publication years: 2004, 2009, and 2014. The results show that articles co-authored by researchers from Germany or the Netherlands are less likely to be among the globally most highly-cited articles if they also cite "domestic" research (i.e. research authored by authors from the same country). To put this another way, less well-cited research is more likely to stand on domestic shoulders and research that becomes more highly-cited is more likely to stand on international shoulders. A possible reason for the results is that researchers "over-cite" the papers from their own country - lacking the focus on quality in citing. However, these differences between domestic and international shoulders are not visible for the UK.

Includes members:
  Member "who benefits from a country s scientific research":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "the role of geographical proximity in knowledge diffusion measured by citations to scientific literature")
  Member "the geography of references in elite articles which countries contribute to the archives of knowledge":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "should citations be field normalized in evaluative bibliometrics an empirical analysis based on propensity score matching")
  Member "a century of science globalization of scientific collaborations citations and innovations":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "heterogeneous graph transformer")
  Member "citations indicators of quality the impact fallacy":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "peer review versus bibliometrics which method better predicts the scholarly impact of publications")
  Member "brics countries and scientific excellence a bibliometric analysis of most frequently cited papers":
    also connected through other hyperedges:
      - Hyperedge HE-5 (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-6 (induced by source paper "on the challenges ahead of spatial scientometrics focusing on the city level")
  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-7 (induced by source paper "an evaluation of percentile measures of citation impact and a proposal for making them better")

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)