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 "advances in science visualization social networks semantic maps 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.

Includes members:
  Member "structuration by intellectual organization the configuration of knowledge in relations among structural components in networks of science":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "information meaning and intellectual organization in networks of inter human communication")
  Member "redundancy in systems which entertain a model of themselves interaction information and the self organization of anticipation":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "the self organization of meaning and the reflexive communication of information")
  Member "indicators of the interdisciplinarity of journals diversity centrality and citations":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "comparing the impact of subfields in scientific journals")
  Member "co occurrence matrices and their applications in information science extending aca to the web environment":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "the superior knowledge proximity measure for patent mapping")
  Member "the dynamics of exchanges and references among scientific texts and the autopoiesis of discursive knowledge":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "information metrics imetrics a research specialty with a socio cognitive identity")

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.CY(Computers and Society)