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: "towards a consumer centric grid a behavioral perspective"
  Abstract: Active consumer participation is seen as an integral part of the emerging smart grid. Examples include demand-side management programs, incorporation of consumer-owned energy storage or renewable energy units, and active energy trading. However, despite the foreseen technological benefits of such consumer-centric grid features, to date, their widespread adoption in practice remains modest. To shed light on this challenge, this paper explores the potential of prospect theory, a Nobel-prize winning theory, as a decision-making framework that can help understand how risk and uncertainty can impact the decisions of smart grid consumers. After introducing the basic notions of prospect theory, several examples drawn from a number of smart grid applications are developed. These results show that a better understanding of the role of human decision-making within the smart grid is paramount for optimizing its operation and expediting the deployment of its various technologies.

Connected through hyperedge HE-1 (induced by source paper "prospect theory for human centric communications"):
  with members:
    - "does network quality matter a field study of mobile user satisfaction"
    - "mobile data trading behavioral economics analysis and algorithm design"
    - "multicarrier relay selection for full duplex relay assisted ofdm d2d systems"
    - "spectrum investment under uncertainty a behavioral economics perspective"
    - "prospect pricing in cognitive radio networks"

Connected through hyperedge HE-2 (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"
    - "price discrimination for energy trading in smart grid a game theoretic approach"
    - "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-3 (induced by source paper "game theoretic vaccination against networked sis epidemics and impacts of human decision making"):
  with members:
    - "game theoretic choice of curing rates against networked sis epidemics by human decision makers"
    - "designing virus resistant high performance networks a game formation approach"
    - "interdependent security games on networks under behavioral probability weighting"
    - "effects of degree correlations in interdependent security good or bad"
    - "prospect theory for enhanced cyber physical security of drone delivery systems a network interdiction game"
    - "fragility of the commons under prospect theoretic risk attitudes"
    - "analysis of exact and approximated epidemic models over complex networks"
    - "networked sis epidemics with awareness"

Connected through hyperedge HE-4 (induced by source paper "managing price uncertainty in prosumer centric energy trading a prospect theoretic stackelberg game approach"):
  with members:
    - "reactive power compensation game under prospect theoretic framing effects"
    - "prospect theory for enhanced smart grid resilience using distributed energy storage"
    - "stochastic games for smart grid energy management with prospect prosumers"
    - "load shifting in the smart grid to participate or not"
    - "prospect pricing in cognitive radio networks"
    - "integrating energy storage into the smart grid a prospect theoretic approach"

Connected through hyperedge HE-5 (induced by source paper "smart routing of electric vehicles for load balancing in smart grids"):
  with members:
    - "optimal pricing to manage electric vehicles in coupled power and transportation networks"
    - "fragility of the commons under prospect theoretic risk attitudes"
    - "stochastic games for smart grid energy management with prospect prosumers"
    - "load shifting in the smart grid to participate or not"
    - "charging games in networks of electrical vehicles"
    - "playing the wrong game smoothness bounds for congestion games with behavioral biases"

Connected through hyperedge HE-6 (induced by source paper "game theoretic electric vehicle charging management resilient to non ideal user behavior"):
  with members:
    - "game theoretic demand side management robust to non ideal consumer behavior in smart grid"
    - "load shifting in the smart grid to participate or not"
    - "competitive energy trading framework for demand side management in neighborhood area networks"
    - "integrating energy storage into the smart grid a prospect theoretic approach"
    - "demand side management in smart grids using a repeated game framework"

Connected through hyperedge HE-7 (induced by source paper "hardware trojan detection game a prospect theoretic approach"):
  with members:
    - "integrating energy storage into the smart grid a prospect theoretic approach"
    - "learning equilibria with partial information in decentralized wireless networks"

Connected through hyperedge HE-8 (induced by source paper "reactive power compensation game under prospect theoretic framing effects"):
  with members:
    - "learning equilibria with partial information in decentralized wireless 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.SY(Systems and Control)