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 "interactive overlays of journals and the measurement of interdisciplinarity on the basis of aggregated journal journal citations"):
  Abstract: Using "Analyze Results" at the Web of Science, one can directly generate overlays onto global journal maps of science. The maps are based on the 10,000+ journals contained in the Journal Citation Reports (JCR) of the Science and Social Science Citation Indices (2011). The disciplinary diversity of the retrieval is measured in terms of Rao-Stirling's "quadratic entropy." Since this indicator of interdisciplinarity is normalized between zero and one, the interdisciplinarity can be compared among document sets and across years, cited or citing. The colors used for the overlays are based on Blondel et al.'s (2008) community-finding algorithms operating on the relations journals included in JCRs. The results can be exported from VOSViewer with different options such as proportional labels, heat maps, or cluster density maps. The maps can also be web-started and/or animated (e.g., using PowerPoint). The "citing" dimension of the aggregated journal-journal citation matrix was found to provide a more comprehensive description than the matrix based on the cited archive. The relations between local and global maps and their different functions in studying the sciences in terms of journal litteratures are further discussed: local and global maps are based on different assumptions and can be expected to serve different purposes for the explanation.

Includes members:
  Member "global maps of science based on the new web of science categories":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "science through wikipedia a novel representation of open knowledge through co citation networks")
  Member "interactive overlay maps for us patent uspto data based on international patent classifications ipc":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "measuring technological distance for patent mapping")
  Member "interdisciplinarity at the journal and specialty level the changing knowledge bases of the journal cognitive science":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "betweenness and diversity in journal citation networks as measures of interdisciplinarity a tribute to eugene garfield")
  Member "interactive overlays a new method for generating global journal maps from web of science data":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "early detection of research trends")
  Member "which cities produce excellent papers worldwide more than can be expected a new mapping approach using google maps based on statistical significance testing":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "recent developments in china u s cooperation in science")
  Member "the structure of the arts humanities citation index a mapping on the basis of aggregated citations among 1 157 journals":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "science through wikipedia a novel representation of open knowledge through co citation networks")
  Member "how journal rankings can suppress interdisciplinary research a comparison between innovation studies and business management":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "the differing meanings of indicators under different policy contexts the case of internationalisation")
  Member "a unified approach to mapping and clustering of bibliometric networks":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "large publishing consortia produce higher citation impact research but co author contributions are hard to evaluate")

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)