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: "network aggregative games and distributed mean field control via consensus theory"
  Abstract: We consider network aggregative games to model and study multi-agent populations in which each rational agent is influenced by the aggregate behavior of its neighbors, as specified by an underlying network. Specifically, we examine systems where each agent minimizes a quadratic cost function, that depends on its own strategy and on a convex combination of the strategies of its neighbors, and is subject to personalized convex constraints. We analyze the best response dynamics and we propose alternative distributed algorithms to steer the strategies of the rational agents to a Nash equilibrium configuration. The convergence of these schemes is guaranteed under different sufficient conditions, depending on the matrices defining the cost and on the network. Additionally, we propose an extension to the network aggregative game setting that allows for multiple rounds of communications among the agents, and we illustrate how it can be combined with consensus theory to recover a solution to the mean field control problem in a distributed fashion, that is, without requiring the presence of a central coordinator. Finally, we apply our theoretical findings to study a novel multi-dimensional, convex-constrained model of opinion dynamics and a hierarchical demand-response scheme for energy management in smart buildings, extending literature results.

Connected through hyperedge HE-1 (induced by source paper "a variational inequality framework for network games existence uniqueness convergence and sensitivity analysis"):
  with members:
    - "sensitivity analysis for network aggregative games"
    - "decentralized convergence to nash equilibria in constrained deterministic mean field control"
    - "provision of public goods on networks on existence uniqueness and centralities"
    - "real and complex monotone communication games"

Connected through hyperedge HE-2 (induced by source paper "evolution of social power for opinion dynamics networks"):
  with members:
    - "novel multidimensional models of opinion dynamics in social networks"
    - "opinion manipulation in social networks"
    - "ergodic randomized algorithms and dynamics over networks"
    - "gossips and prejudices ergodic randomized dynamics in social networks"

Connected through hyperedge HE-3 (induced by source paper "sensitivity analysis for network aggregative games"):
  with members:
    - "nash and wardrop equilibria in aggregative games with coupling constraints"
    - "a distributed algorithm for average aggregative games with coupling constraints"
    - "informational braess paradox the effect of information on traffic congestion"

Connected through hyperedge HE-4 (induced by source paper "a distributed algorithm for average aggregative games with coupling constraints"):
  with members:
    - "nash and wardrop equilibria in aggregative games with coupling constraints"

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)