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: "stochastic geometry based medium access games in mobile ad hoc networking"
  Abstract: This paper studies the performance of Mobile Ad hoc Networks (MANETs) when the nodes, that form a Poisson point process, selfishly choose their Medium Access Probability (MAP). We consider goodput and delay as the performance metric that each node is interested in opt imizing taking into account the transmission energy costs. We introduce a pricing scheme based on the transmissi on energy requirements and compute the symmetric Nash equilibria of the game in closed form. It is shown that by appropriately pricing the nodes, the selfish behavior of the nodes can be used to achieve the social optimum at equil ibrium. The Price of Anarchy is then analyzed for these games. For the game with delay based utility, we bound t he price of anarchy and study the effect of the price factor. For the game with goodput based utility, it is shown t hat price of anarchy is infinite at the price factor that achieves the global optima.

Connected through hyperedge HE-1 (induced by source paper "transmission capacity of wireless ad hoc networks with energy harvesting nodes"):
  with members:
    - "medium access control protocols for wireless sensor networks with energy harvesting"
    - "sum rate optimal power policies for energy harvesting transmitters in an interference channel"
    - "optimal power allocation for renewable energy source"
    - "transmission with energy harvesting nodes in fading wireless channels optimal policies"
    - "throughput delay reliability tradeoff with arq in wireless ad hoc networks"
    - "optimal energy management policies for energy harvesting sensor nodes"
    - "spatial and temporal correlation of the interference in aloha ad hoc 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.GT(Computer Science and Game Theory)