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: "game theoretic analysis of the hegselmann krause model for opinion dynamics in finite dimensions"
  Abstract: We consider the Hegselmann-Krause model for opinion dynamics and study the evolution of the system under various settings. We first analyze the termination time of the synchronous Hegselmann-Krause dynamics in arbitrary finite dimensions and show that the termination time in general only depends on the number of agents involved in the dynamics. To the best of our knowledge, that is the sharpest bound for the termination time of such dynamics that removes dependency of the termination time from the dimension of the ambient space, and connects the convergence speed of the dynamics to the eigenvalues of the adjacency matrix of the connectivity graph in the Hegselmann-Krause dynamics. This answers an open question in the paper by Bhattacharyya  et al.  on how to obtain a tighter upper bound for the termination time. Furthermore, we study the asynchronous Hegselmann-Krause model from a novel game-theoretic approach and show that the evolution of an asynchronous Hegselmann-Krause model is equivalent to a sequence of best response updates in a well-designed potential game. We then provide a polynomial upper bound for the expected time and expected number of switching topologies until the dynamic reaches an arbitrarily small neighborhood of its equilibrium points, provided that the agents update uniformly at random. This is a step toward analysis of heterogeneous Hegselmann-Krause dynamics. Finally, we consider the heterogeneous Hegselmann-Krause dynamics and provide a necessary condition for the finite termination time of such dynamics. In particular, we sketch some future directions toward more detailed analysis of the heterogeneous Hegselmann-Krause model.

Connected through hyperedge HE-1 (induced by source paper "time varying constrained proximal type dynamics in multi agent network games"):
  with members:
    - "an asynchronous forward backward distributed generalized nash equilibrium seeking algorithm"
    - "distributed maximum likelihood sensor network localization"

Connected through hyperedge HE-2 (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"
    - "novel multidimensional models of opinion dynamics in social networks"
    - "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"

Connected through hyperedge HE-3 (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"
    - "novel multidimensional models of opinion dynamics in social networks"
    - "a psychologically motivated model of opinion change with applications to american politics"
    - "structural balance and opinion separation in trust mistrust social networks"
    - "biased assimilation homophily and the dynamics of polarization"

Connected through hyperedge HE-4 (induced by source paper "a tutorial on modeling and analysis of dynamic social networks part i"):
  with members:
    - "on the analysis of the degroot friedkin model with dynamic relative interaction matrices"
    - "opinion evolution in time varying social influence networks with prejudiced agents"
    - "differential inequalities in multi agent coordination and opinion dynamics modeling"
    - "distributed algorithms for computation of centrality measures in complex networks"
    - "novel multidimensional models of opinion dynamics in social networks"
    - "open multi agent systems gossiping with random arrivals and departures"
    - "active sensing of social networks"
    - "structural balance and opinion separation in trust mistrust social networks"

Connected through hyperedge HE-5 (induced by source paper "evolution of social power in social networks with dynamic topology"):
  with members:
    - "modification of social dominance in social networks by selective adjustment of interpersonal weights"
    - "on the analysis of the degroot friedkin model with dynamic relative interaction matrices"
    - "nonlinear mapping convergence and application to social networks"
    - "novel multidimensional models of opinion dynamics in social networks"
    - "opinion dynamics in social networks with hostile camps consensus vs polarization"
    - "distributed evaluation and convergence of self appraisals in social networks"

Connected through hyperedge HE-6 (induced by source paper "on the analysis of the degroot friedkin model with dynamic relative interaction matrices"):
  with members:
    - "distributed evaluation and convergence of self appraisals in social networks"
    - "the role of persistent graphs in the agreement seeking of social networks"

Connected through hyperedge HE-7 (induced by source paper "consensus as a nash equilibrium of a dynamic game"):
  with members:
    - "decentralized dynamics for finite opinion games"
    - "how bad is forming your own opinion"
    - "opinion dynamics in social networks a local interaction game with stubborn agents"

Connected through hyperedge HE-8 (induced by source paper "asymptotic analysis of threshold models for social networks"):
  with members:
    - "ergodic randomized algorithms and dynamics over networks"
    - "opinion fluctuations and disagreement in social networks"

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.GT(Computer Science and Game Theory)