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: "price discrimination for energy trading in smart grid a game theoretic approach"
  Abstract: Pricing schemes are an important smart grid feature to affect typical energy usage behavior of energy users (EUs). However, most existing schemes use the assumption that a buyer pays the same price per unit of energy to all suppliers at any particular time when energy is bought. By contrast, here a discriminate pricing technique using game theory is studied. A cake cutting game is investigated, in which participating EUs in a smart community decide on the price per unit of energy to charge a shared facility controller (SFC) in order to sell surplus energy. The focus is to study fairness criteria to maximize sum benefits to EUs and ensure an envy-free energy trading market. A benefit function is designed that leverages generation of discriminate pricing by each EU, according to the amount of surplus energy that an EU trades with the SFC and the EU's sensitivity to price. It is shown that the game possesses a socially optimal, and hence also Pareto optimal, solution. Further, an algorithm that can be implemented by each EU in a distributed manner to reach the optimal solution is proposed. Numerical case studies are given that demonstrate beneficial properties of the scheme.

Connected through hyperedge HE-1 (induced by source paper "peer to peer trading in electricity networks an overview"):
  with members:
    - "a motivational game theoretic approach for peer to peer energy trading in the smart grid"
    - "energy crowdsourcing and peer to peer energy trading in blockchain enabled smart grids"
    - "blockchain technologies for smart energy systems fundamentals challenges and solutions"
    - "decentralized p2p energy trading under network constraints in a low voltage network"
    - "peer to peer energy trading with sustainable user participation a game theoretic approach"
    - "prioritizing consumers in smart grid a game theoretic approach"
    - "three party energy management with distributed energy resources in smart grid"

Connected through hyperedge HE-2 (induced by source paper "a motivational game theoretic approach for peer to peer energy trading in the smart grid"):
  with members:
    - "decentralized p2p energy trading under network constraints in a low voltage network"
    - "consensus based approach to peer to peer electricity markets with product differentiation"
    - "prioritizing consumers in smart grid a game theoretic approach"
    - "three party energy management with distributed energy resources in smart grid"

Connected through hyperedge HE-3 (induced by source paper "dynamic pricing for revenue maximization in mobile social data market with network effects"):
  with members:
    - "mobile data trading behavioral economics analysis and algorithm design"
    - "a socially aware incentive mechanism for mobile crowdsensing service market"
    - "competition and cooperation analysis for data sponsored market a network effects model"
    - "exploiting social tie structure for cooperative wireless networking a social group utility maximization framework"
    - "time and location aware mobile data pricing"
    - "a survey of smart data pricing past proposals current plans and future trends"
    - "optimal pricing in networks with externalities"
    - "price based resource allocation for spectrum sharing femtocell networks a stackelberg game approach"

Connected through hyperedge HE-4 (induced by source paper "peer to peer energy trading with sustainable user participation a game theoretic approach"):
  with members:
    - "managing price uncertainty in prosumer centric energy trading a prospect theoretic stackelberg game approach"
    - "customer engagement plans for peak load reduction in residential smart grids"
    - "energy storage sharing in smart grid a modified auction based approach"
    - "towards a consumer centric grid a behavioral perspective"
    - "cooperation and storage tradeoffs in power grids with renewable energy resources"
    - "prioritizing consumers in smart grid a game theoretic approach"
    - "three party energy management with distributed energy resources in smart grid"
    - "coalitional games with overlapping coalitions for interference management in small cell networks"

Connected through hyperedge HE-5 (induced by source paper "management of renewable energy for a shared facility controller in smart grid"):
  with members:
    - "energy storage sharing in smart grid a modified auction based approach"
    - "cost minimization of charging stations with photovoltaics an approach with ev classification"
    - "three party energy management with distributed energy resources in smart grid"

Connected through hyperedge HE-6 (induced by source paper "double sided energy auction equilibrium under price anticipation"):
  with members:
    - "prioritizing consumers in smart grid a game theoretic approach"
    - "a game theoretic approach to energy trading in the smart grid"
    - "efficiency loss in a network resource allocation game the case of elastic supply"

Connected through hyperedge HE-7 (induced by source paper "energy storage sharing in smart grid a modified auction based approach"):
  with members:
    - "customer engagement plans for peak load reduction in residential smart grids"
    - "cost minimization of charging stations with photovoltaics an approach with ev classification"
    - "prioritizing consumers in smart grid a game theoretic approach"
    - "three party energy management with distributed energy resources in smart grid"

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)