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: "novel multidimensional models of opinion dynamics in social networks"
  Abstract: Unlike many complex networks studied in the literature, social networks rarely exhibit unanimous behavior, or  consensus . This requires a development of mathematical models that are sufficiently simple to be examined and capture, at the same time, the complex behavior of real social groups, where opinions and actions related to them may form clusters of different size. One such model, proposed by Friedkin and Johnsen, extends the idea of conventional consensus algorithm (also referred to as the iterative opinion pooling) to take into account the actors’ prejudices, caused by some exogenous factors and leading to disagreement in the final opinions. In this paper, we offer a novel multidimensional extension, describing the evolution of the agents’ opinions on several topics. Unlike the existing models, these topics are interdependent, and hence the opinions being formed on these topics are also mutually dependent. We rigorously examine stability properties of the proposed model, in particular, convergence of the agents’ opinions. Although our model assumes synchronous communication among the agents, we show that the same final opinions may be reached “on average” via asynchronous gossip-based protocols.

Connected through hyperedge HE-1 (induced by source paper "a geometric model of opinion polarization"):
  with members:
    - "on the inevitability of online echo chambers"
    - "balancing information exposure in social networks"
    - "reducing controversy by connecting opposing views"
    - "the evolution of beliefs over signed social networks"
    - "biased assimilation homophily and the dynamics of polarization"

Connected through hyperedge HE-2 (induced by source paper "social power evolution in influence networks with stubborn individuals"):
  with members:
    - "stability theory of stochastic models in opinion dynamics"
    - "a tutorial on modeling and analysis of dynamic social networks part i"
    - "evolution of social power in social networks with dynamic topology"
    - "distributed abstract optimization via constraints consensus theory and applications"

Connected through hyperedge HE-3 (induced by source paper "opinion dynamics on correlated subjects in social networks"):
  with members:
    - "belief dynamics in social networks a fluid based analysis"
    - "ergodic randomized algorithms and dynamics over networks"
    - "on the convergence of the hegselmann krause system"
    - "how agreement and disagreement evolve over random dynamic networks"

Connected through hyperedge HE-4 (induced by source paper "perceptual control with large feature and actuator networks"):
  with members:
    - "opinion dynamics in social networks with hostile camps consensus vs polarization"
    - "optical flow sensing and the inverse perception problem for flying bats"
    - "control communication complexity of distributed actions"
    - "animal inspired agile flight using optical flow sensing"

Connected through hyperedge HE-5 (induced by source paper "cooperative opinion dynamics on multiple interdependent topics modeling and analysis"):
  with members:
    - "continuous time opinion dynamics on multiple interdependent topics"
    - "cooperative opinion dynamics on multiple interdependent topics modeling and some observations"
    - "evolution of social power in social networks with dynamic topology"
    - "the impact of random actions on opinion dynamics"
    - "opinion dynamics in social networks with hostile camps consensus vs polarization"
    - "game theoretic analysis of the hegselmann krause model for opinion dynamics in finite dimensions"

Connected through hyperedge HE-6 (induced by source paper "consensus and disagreement of heterogeneous belief systems in influence networks"):
  with members:
    - "a tutorial on modeling and analysis of dynamic social networks part i"
    - "a psychologically motivated model of opinion change with applications to american politics"
    - "structural balance and opinion separation in trust mistrust social networks"
    - "game theoretic analysis of the hegselmann krause model for opinion dynamics in finite dimensions"
    - "biased assimilation homophily and the dynamics of polarization"

Connected through hyperedge HE-7 (induced by source paper "randomized opinion dynamics over networks influence estimation from partial observations"):
  with members:
    - "a tutorial on modeling and analysis of dynamic social networks part i"
    - "active sensing of social networks"
    - "ergodic randomized algorithms and dynamics over networks"
    - "opinion fluctuations and disagreement in social networks"

Connected through hyperedge HE-8 (induced by source paper "continuous time opinion dynamics on multiple interdependent topics"):
  with members:
    - "consensus and disagreement of heterogeneous belief systems in influence networks"
    - "a tutorial on modeling and analysis of dynamic social networks part i"
    - "opinion dynamics in social networks with hostile camps consensus vs polarization"

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.SY(Systems and Control)