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: "electrical vehicles in the smart grid a mean field game analysis"
  Abstract: In this article, we investigate the competitive interaction between electrical vehicles or hybrid oil-electricity vehicles in a Cournot market consisting of electricity transactions to or from an underlying electricity distribution network. We provide a mean field game formulation for this competition, and introduce the set of fundamental differential equations ruling the behavior of the vehicles at the feedback Nash equilibrium, referred here to as the mean field equilibrium. This framework allows for a consistent analysis of the evolution of the price of electricity as well as of the instantaneous electricity demand in the power grid. Simulations precisely quantify those parameters and suggest that significant reduction of the daily electricity peak demand can be achieved by appropriate electricity pricing.

Connected through hyperedge HE-1 (induced by source paper "mean field game theoretic edge caching in ultra dense networks"):
  with members:
    - "ultra dense edge caching under spatio temporal demand and network dynamics"
    - "spatially correlated content caching for device to device communications"
    - "ultra dense small cell networks turning density into energy efficiency"
    - "fundamental storage latency tradeoff in cache aided mimo interference networks"
    - "caching in wireless small cell networks a storage bandwidth tradeoff"
    - "wireless content caching for small cell and d2d networks"
    - "tractable resource management with uplink decoupled millimeter wave overlay in ultra dense cellular networks"
    - "mean field games for distributed caching in ultra dense small cell networks"

Connected through hyperedge HE-2 (induced by source paper "massive uav to ground communication and its stable movement control a mean field approach"):
  with members:
    - "mean field game theoretic edge caching in ultra dense networks"
    - "urllc embb slicing to support vr multimodal perceptions over wireless cellular systems"
    - "ultra dense edge caching under spatio temporal demand and network dynamics"
    - "mobile unmanned aerial vehicles uavs for energy efficient internet of things communications"
    - "dynamic base station repositioning to improve spectral efficiency of drone small cells"
    - "revisiting frequency reuse towards supporting ultra reliable ubiquitous rate communication"
    - "energy efficient uav communication with trajectory optimization"
    - "unmanned aerial vehicle with underlaid device to device communications performance and tradeoffs"

Connected through hyperedge HE-3 (induced by source paper "estimation and control of quality of service in demand dispatch"):
  with members:
    - "ergodic theory for controlled markov chains with stationary inputs"
    - "state estimation for the individual and the population in mean field control with application to demand dispatch"
    - "demand dispatch with heterogeneous intelligent loads"

Connected through hyperedge HE-4 (induced by source paper "towards a consumer centric grid a behavioral perspective"):
  with members:
    - "load shifting in the smart grid to participate or not"
    - "integrating energy storage into the smart grid a prospect theoretic approach"
    - "prioritizing consumers in smart grid a game theoretic approach"
    - "a game theoretic approach to energy trading in the smart grid"

Connected through hyperedge HE-5 (induced by source paper "passive dynamics in mean field control"):
  with members:
    - "universal and composite hypothesis testing via mismatched divergence"
    - "mean field for markov decision processes from discrete to continuous optimization"

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)