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 "highly cited papers in library and information science lis authors institutions and network structures"):
  Abstract: As a follow-up to the highly-cited authors list published by Thomson Reuters in June 2014, we analyze the top-1% most frequently cited papers published between 2002 and 2012 included in the Web of Science (WoS) subject category "Information Science & Library Science." 798 authors contributed to 305 top-1% publications; these authors were employed at 275 institutions. The authors at Harvard University contributed the largest number of papers, when the addresses are whole-number counted. However, Leiden University leads the ranking, if fractional counting is used. #R##N#Twenty-three of the 798 authors were also listed as most highly-cited authors by Thomson Reuters in June 2014 (this http URL). Twelve of these 23 authors were involved in publishing four or more of the 305 papers under study. Analysis of co-authorship relations among the 798 highly-cited scientists shows that co-authorships are based on common interests in a specific topic. Three topics were important between 2002 and 2012: (1) collection and exploitation of information in clinical practices, (2) the use of internet in public communication and commerce, and (3) scientometrics.

Includes members:
  Member "the generation of large networks from web of science data":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "quantifying the evolution of a scientific topic reaction of the academic community to the chornobyl disaster")
  Member "which of the world s institutions employ the most highly cited researchers an analysis of the data from highlycited com":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "opium in science and society numbers")
  Member "how are excellent highly cited papers defined in bibliometrics a quantitative analysis of the literature":
    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 "are the authors of highly cited articles also the most productive ones":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "a simple centrality index for scientific social recognition")
  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 "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")

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)