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 "cited references and medical subject headings mesh as two different knowledge representations clustering and mappings at the paper level"):
  Abstract: For the biomedical sciences, the Medical Subject Headings (MeSH) make available a rich feature which cannot currently be merged properly with widely used citing/cited data. Here, we provide methods and routines that make MeSH terms amenable to broader usage in the study of science indicators: using Web-of-Science (WoS) data, one can generate the matrix of citing versus cited documents; using PubMed/MEDLINE data, a matrix of the citing documents versus MeSH terms can be generated analogously. The two matrices can also be reorganized into a 2-mode matrix of MeSH terms versus cited references. Using the abbreviated journal names in the references, one can, for example, address the question whether MeSH terms can be used as an alternative to WoS Subject Categories for the purpose of normalizing citation data. We explore the applicability of the routines in the case of a research program about the amyloid cascade hypothesis in Alzheimer's disease (AD). One conclusion is that referenced journals provide archival structures, whereas MeSH terms indicate mainly variation (including novelty) at the research front. Furthermore, we explore the option of using the citing/cited matrix for main-path analysis as a by-product of the software.

Includes members:
  Member "strategic intelligence on emerging technologies scientometric overlay mapping":
    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 "grand challenges in measuring and characterizing scholarly impact":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "a scalable and adaptive method for finding semantically equivalent cue words of uncertainty")
  Member "a triple helix model of medical innovation supply demand and technological capabilities in terms of medical subject headings":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "an analysis of the evolution of science technology linkage in biomedicine")
  Member "introducing citedreferencesexplorer crexplorer a program for reference publication year spectroscopy with cited references standardization":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "how to identify the roots of broad research topics and fields the introduction of rpys sampling using the example of climate change research")
  Member "can hot spots in the sciences be mapped using the dynamics of aggregated journal journal citation relations":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "generating clustered journal maps an automated system for hierarchical classification")
  Member "citation analysis with medical subject headings mesh using the web of knowledge a new routine":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "algorithmically generated subject categories based on citation relations an empirical micro study using papers on overall water splitting")
  Member "a new methodology for constructing a publication level classification system of science":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "practical method to reclassify web of science articles into unique subject categories and broad disciplines")
  Member "some modifications to the snip journal impact indicator":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "prevalence of potentially predatory publishing in scopus on the country level")

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)