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: "measuring the meaning of words in contexts an automated analysis of controversies about monarch butterflies frankenfoods and stem cells"
  Abstract: Co-words have been considered as carriers of meaning across different domains in studies of science, technology, and society. Words and co-words, however, obtain meaning in sentences, and sentences obtain meaning in their contexts of use. At the science/society interface, words can be expected to have different meanings: the codes of communication that provide meaning to words differ on the varying sides of the interface. Furthermore, meanings and interfaces may change over time. Given this structuring of meaning across interfaces and over time, we distinguish between metaphors and diaphors as reflexive mechanisms that facilitate the translation between contexts. Our empirical focus is on three recent scientific controversies: Monarch butterflies, Frankenfoods, and stem-cell therapies. This study explores new avenues that relate the study of co-word analysis in context with the sociological quest for the analysis and processing of meaning.

Connected through hyperedge HE-1 (induced by source paper "clustering articles based on semantic similarity"):
  with members:
    - "contextualization of topics browsing through the universe of bibliographic information"
    - "ariadne s thread interactive navigation in a world of networked information"
    - "contextualization of topics browsing through terms authors journals and cluster allocations"

Connected through hyperedge HE-2 (induced by source paper "co word maps and topic modeling a comparison using small and medium sized corpora n 1000"):
  with members:
    - "the leiden ranking 2011 2012 data collection indicators and interpretation"
    - "text mining and visualization using vosviewer"
    - "the semantic mapping of words and co words in contexts"

Connected through hyperedge HE-3 (induced by source paper "resygen a recommendation system generator using domain based heuristics"):
  with members:
    - "co occurrence matrices and their applications in information science extending aca to the web environment"
    - "visualization of the citation impact environments of scientific journals an online mapping exercise"
    - "content based book recommending using learning for text categorization"

Connected through hyperedge HE-4 (induced by source paper "implicit media frames automated analysis of public debate on artificial sweeteners"):
  with members:
    - "co occurrence matrices and their applications in information science extending aca to the web environment"

Connected through hyperedge HE-5 (induced by source paper "co word analysis using the chinese character set"):
  with members:
    - "co occurrence matrices and their applications in information science extending aca to the web environment"
    - "a comparison between the china scientific and technical papers and citations database and the science citation index in terms of journal hierarchies and inter journal citation relations"

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.CL(Computation and Language)