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 "scientometric mapping as a strategic intelligence tool for the governance of emerging technologies"):
  Abstract: How can scientometric mapping function as a tool of ’strategic intelligence’ to aid the governance of emerging technologies? The present paper aims to address this question by focusing on a set of recently developed scientometric techniques, namely overlay mapping. We examine the potential these techniques have to inform, in a timely manner, analysts and decision-makers about relevant dynamics of technical emergence. We investigate the capability of overlay mapping in generating informed perspectives about emergence across three spaces: geographical, social, and cognitive. Our analysis relies on three empirical studies of emerging technologies in the biomedical domain: RNA interference (RNAi), Human Papilloma Virus (HPV) testing technologies for cervical cancer, and Thiopurine Methyltransferase (TPMT) genetic testing. The case-studies are analysed and mapped longitudinally by using publication and patent data. Results show the variety of ’intelligence’ inputs overlay mapping can produce for the governance of emerging technologies. Overlay mapping also confers to the investigation of emergence flexibility and granularity in terms of adaptability to different sources of data and selection of the levels of the analysis, respectively. These features make possible the integration and comparison of results from different contexts and cases, thus providing possibilities for a potentially more ’distributed’ strategic intelligence. The generated perspectives allow triangulation of findings, which is important given the complexity featuring in technical emergence and the limitations associated with the use of single scientometric approaches

Includes members:
  Member "patents as instruments for exploring innovation dynamics geographic and technological perspectives on photovoltaic cells":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "data mining the foundational patents of photovoltaic materials an application of patent citation spectroscopy")
  Member "interactive overlays of journals and the measurement of interdisciplinarity on the basis of aggregated journal journal citations":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "early detection of research trends")
  Member "bibliometric perspectives on medical innovation using the medical subject headings mesh of pubmed":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "strategic intelligence on emerging technologies scientometric overlay mapping")
  Member "the detection of":
    also connected through other hyperedges:
      (none)
  Member "mapping uspto patent data using overlays to google maps":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "strategic intelligence on emerging technologies scientometric overlay mapping")
  Member "the detection of hot regions in the geography of science a visualization approach by using density maps":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "on the challenges ahead of spatial scientometrics focusing on the city level")
  Member "mapping the geography of science distribution patterns and networks of relations among cities and institutes":
    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 "science overlay maps a new tool for research policy and library management":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "science through wikipedia a novel representation of open knowledge through co citation networks")

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)