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 "characteristics of international versus non international scientific publication media in team and author based data"):
  Abstract: The enlarged coverage of the international publication and citation databases Web of Science and Scopus towards local media in social sciences was a welcome response to an increased usage of these databases in evaluation and funding systems. The mostly international journals available earlier were the basis for the development of current standard bibliometric indicators. The same indicators may no longer measure exactly the same concepts when applied to newly introduced or extended media categories, with possibly different characteristics than those of international journals. This paper investigates differences between media with and without international dimension in publication data at team and author level. The findings relate the international publication categories to research quality, important for validation of their usage in evaluation or funding models that aim to stimulate quality.

Includes members:
  Member "quantitative cv based indicators for research quality validated by peer review":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "quality related publication categories in social sciences and humanities based on a university s peer review assessments")
  Member "reliability and comparability of peer review results":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "partition based field normalization an approach to highly specialized publication records")
  Member "research evaluation per discipline a peer review method and its outcomes":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "quality related publication categories in social sciences and humanities based on a university s peer review assessments")

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)