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: "science visualization and discursive knowledge"
  Abstract: Positional and relational perspectives on network data have led to two different research traditions in textual analysis and social network analysis, respectively. Latent Semantic Analysis (LSA) focuses on the latent dimensions in textual data; social network analysis (SNA) on the observable networks. The two coupled topographies of information-processing in the network space and meaning-processing in the vector space operate with different (nonlinear) dynamics. The historical dynamics of information processing in observable networks organizes the system into instantiations; the systems dynamics, however, can be considered as self-organizing in terms of fluxes of communication along the various dimensions that operate with different codes. The development over time adds evolutionary differentiation to the historical integration; a richer structure can process more complexity.

Connected through hyperedge HE-1 (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"
    - "strategic intelligence on emerging technologies scientometric overlay 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"
    - "a unified approach to mapping and clustering of bibliometric networks"

Connected through hyperedge HE-2 (induced by source paper "networks of reader and country status an analysis of mendeley reader statistics"):
  with members:
    - "a review of theory and practice in scientometrics"
    - "journal portfolio analysis for countries cities and organizations maps and comparisons"
    - "visualization of co readership patterns from an online reference management system"
    - "alternative metrics in scientometrics a meta analysis of research into three altmetrics"
    - "do altmetrics point to the broader impact of research an overview of benefits and disadvantages of altmetrics"
    - "user participation in an academic social networking service a survey of open group users on mendeley"

Connected through hyperedge HE-3 (induced by source paper "information meaning and intellectual organization in networks of inter human communication"):
  with members:
    - "interdisciplinarity at the journal and specialty level the changing knowledge bases of the journal cognitive science"
    - "structuration by intellectual organization the configuration of knowledge in relations among structural components in networks of science"
    - "redundancy in systems which entertain a model of themselves interaction information and the self organization of anticipation"

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.CY(Computers and Society)