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 "brics countries and scientific excellence a bibliometric analysis of most frequently cited papers"):
  Abstract: The BRICS countries (Brazil, Russia, India, and China, and South Africa) are noted for their increasing participation in science and technology. The governments of these countries have been boosting their investments in research and development to become part of the group of nations doing research at a world-class level. This study investigates the development of the BRICS countries in the domain of top-cited papers (top 10% and 1% most frequently cited papers) between 1990 and 2010. To assess the extent to which these countries have become important players on the top level, we compare the BRICS countries with the top-performing countries worldwide. As the analyses of the (annual) growth rates show, with the exception of Russia, the BRICS countries have increased their output in terms of most frequently-cited papers at a higher rate than the top-cited countries worldwide. In a further step of analysis for this study, we generate co-authorship networks among authors of highly cited papers for four time points to view changes in BRICS participation (1995, 2000, 2005, and 2010). Here, the results show that all BRICS countries succeeded in becoming part of this network, whereby the Chinese collaboration activities focus on the USA.

Includes members:
  Member "growth rates of modern science a bibliometric analysis based on the number of publications and cited references":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "citation text generation")
  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-2 (induced by source paper "on the challenges ahead of spatial scientometrics focusing on the city level")
  Member "which percentile based approach should be preferred for calculating normalized citation impact values an empirical comparison of five approaches including a newly developed citation rank approach p100":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "an evaluation of percentile measures of citation impact and a proposal for making them better")
  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-4 (induced by source paper "the evolution of sentiment analysis a review of research topics venues and top cited papers")
  Member "how to improve the prediction based on citation impact percentiles for years shortly after the publication date":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "predicting citation counts based on deep neural network learning techniques")
  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-6 (induced by source paper "an evaluation of percentile measures of citation impact and a proposal for making them better")
  Member "remaining problems with the new crown indicator mncs of the cwts":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "creativity in science and the link to cited references is the creative potential of papers reflected in their cited references")

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)