human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "strategic intelligence on emerging technologies scientometric overlay mapping"
  Abstract: This paper examines the use of scientometric overlay mapping as a tool of "strategic intelligence" to aid the governing of emerging technologies. We develop an integrative synthesis of different overlay mapping techniques and associated perspectives on technological emergence across geographical, social, and cognitive spaces. To do so, we longitudinally analyze with publication and patent data three case studies of emerging technologies in the medical domain. These are RNA interference RNAi, human papillomavirus HPV testing technologies for cervical cancer, and thiopurine methyltransferase TPMT genetic testing. Given the flexibility i.e., adaptability to different sources of data and granularity i.e., applicability across multiple levels of data aggregation of overlay mapping techniques, we argue that these techniques can favor the integration and comparison of results from different contexts and cases, thus potentially functioning as a platform for "distributed" strategic intelligence for analysts and decision makers.

Connected through hyperedge HE-1 (induced by source paper "data mining the foundational patents of photovoltaic materials an application of patent citation spectroscopy"):
  with members:
    - "patent citation spectroscopy pcs algorithmic retrieval of landmark patents"
    - "citation algorithms for identifying research milestones driving biomedical innovation"
    - "introducing citedreferencesexplorer crexplorer a program for reference publication year spectroscopy with cited references standardization"
    - "patents as instruments for exploring innovation dynamics geographic and technological perspectives on photovoltaic cells"
    - "detecting the historical roots of research fields by reference publication year spectroscopy rpys"
    - "publish or patent bibliometric evidence for empirical trade offs in national funding strategies"

Connected through hyperedge HE-2 (induced by source paper "mapping patent classifications portfolio and statistical analysis and the comparison of strengths and weaknesses"):
  with members:
    - "measuring technological distance for patent mapping"
    - "generating clustered journal maps an automated system for hierarchical classification"
    - "patent portfolio analysis of cities statistics and maps of technological inventiveness"
    - "journal portfolio analysis for countries cities and organizations maps and comparisons"
    - "patents as instruments for exploring innovation dynamics geographic and technological perspectives on photovoltaic cells"
    - "can technology life cycles be indicated by diversity in patent classifications the crucial role of variety"
    - "science visualization and discursive knowledge"
    - "a unified approach to mapping and clustering of bibliometric networks"

Connected through hyperedge HE-3 (induced by source paper "patent citation spectroscopy pcs algorithmic retrieval of landmark patents"):
  with members:
    - "citation algorithms for identifying research milestones driving biomedical innovation"
    - "citations indicators of quality the impact fallacy"
    - "detecting the historical roots of tribology research a bibliometric analysis"
    - "detecting the historical roots of research fields by reference publication year spectroscopy rpys"
    - "referenced publication years spectroscopy applied to imetrics scientometrics journal of informetrics and a relevant subset of jasist"

Connected through hyperedge HE-4 (induced by source paper "cited references and medical subject headings mesh as two different knowledge representations clustering and mappings at the paper level"):
  with members:
    - "grand challenges in measuring and characterizing scholarly impact"
    - "a triple helix model of medical innovation supply demand and technological capabilities in terms of medical subject headings"
    - "introducing citedreferencesexplorer crexplorer a program for reference publication year spectroscopy with cited references standardization"
    - "can hot spots in the sciences be mapped using the dynamics of aggregated journal journal citation relations"
    - "citation analysis with medical subject headings mesh using the web of knowledge a new routine"
    - "a new methodology for constructing a publication level classification system of science"
    - "some modifications to the snip journal impact indicator"
    - "measuring contextual citation impact of scientific journals"

Connected through hyperedge HE-5 (induced by source paper "a triple helix model of medical innovation supply demand and technological capabilities in terms of medical subject headings"):
  with members:
    - "what is an emerging technology"
    - "a routine for measuring synergy in university industry government relations mutual information as a triple helix and quadruple helix indicator"
    - "bibliometric perspectives on medical innovation using the medical subject headings mesh of pubmed"
    - "rotational symmetry and the transformation of innovation systems in a triple helix of university industry government relations"

Connected through hyperedge HE-6 (induced by source paper "patent portfolio analysis of cities statistics and maps of technological inventiveness"):
  with members:
    - "mapping patent classifications portfolio and statistical analysis and the comparison of strengths and weaknesses"
    - "measuring technological distance for patent mapping"
    - "journal portfolio analysis for countries cities and organizations maps and comparisons"

Connected through hyperedge HE-7 (induced by source paper "funding data from publication acknowledgements coverage uses and limitations"):
  with members:
    - "a triple helix model of medical innovation supply demand and technological capabilities in terms of medical subject headings"

Connected through hyperedge HE-8 (induced by source paper "the interaction of supply demand and technological capabilities in terms of medical subject headings a triple helix model of medical innovation"):
  with members:
    - "what is an emerging technology"
    - "can synergy in triple helix relations be quantified a review of the development of the triple helix indicator"
    - "a routine for measuring synergy in university industry government relations mutual information as a triple helix and quadruple helix indicator"
    - "rotational symmetry and the transformation of innovation systems in a triple helix of university industry government relations"
    - "the mutual information of university industry government relations an indicator of the triple helix dynamics"

Question: Please tell me which class the center node 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)