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: "a multi layer market for vehicle to grid energy trading in the smart grid"
  Abstract: In this paper, we propose a novel multi-layer market for analyzing the energy exchange process between electric vehicles and the smart grid. The proposed market consists essentially of two layers: a macro layer and a micro layer. At the macro layer, we propose a double auction mechanism using which the aggregators, acting as sellers, and the smart grid elements, acting as buyers, interact so as to trade energy. We show that this double auction mechanism is strategy-proof and converges asymptotically. At the micro layer, the aggregators, which are the sellers in the macro layer, are given monetary incentives so as to sell the energy of associated plug-in hybrid electric vehicles (PHEVs) and to maximize their revenues. We analyze the interaction between the macro and micro layers and study some representative cases. Depending on the elasticity of the supply and demand, the utility functions are analyzed under different scenarios. Simulation results show that the proposed approach can significantly increase the utility of PHEVs, compared to a classical greedy approach.

Connected through hyperedge HE-1 (induced by source paper "vehicular energy network"):
  with members:
    - "autonomous vehicle public transportation system scheduling and admission control"
    - "capacity estimation for vehicle to grid frequency regulation services with smart charging mechanism"
    - "electric vehicle charging station placement formulation complexity and solutions"

Connected through hyperedge HE-2 (induced by source paper "novel market approach for locally balancing renewable energy production and flexible demand"):
  with members:
    - "novel paradigms for advanced distribution grid energy management"

Connected through hyperedge HE-3 (induced by source paper "combinatorial auction based pricing for multi tenant autonomous vehicle public transportation system"):
  with members:
    - "autonomous vehicle public transportation system scheduling and admission control"

Connected through hyperedge HE-4 (induced by source paper "opportunistic routing for the vehicular energy network"):
  with members:
    - "vehicular energy network"

Connected through hyperedge HE-5 (induced by source paper "electric vehicle charging station placement formulation complexity and solutions"):
  with members:
    - "optimal v2g scheduling of electric vehicles and unit commitment using chemical reaction optimization"

Connected through hyperedge HE-6 (induced by source paper "optimal v2g scheduling of electric vehicles and unit commitment using chemical reaction optimization"):
  with members:
    - "sensor deployment for air pollution monitoring using public transportation system"
    - "real coded chemical reaction optimization with different perturbation functions"
    - "evolutionary artificial neural network based on chemical reaction 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)