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: "optimal auction mechanism for spectrum allocation in cognitive radio networks under uncertain spectrum availability"
  Abstract: In this paper, we consider the problem of dynamic spectrum allocation in cognitive radio (CR) networks and propose a new sealed-bid auction framework to address the spectrum allocation problem when the spectrum is not available with certainty. In our model, we assume that the moderator plays the dual role of being a fusion center (FC) for spectrum sensing and an auctioneer for spectrum allocation where it attempts to maximize its utility. We also consider the cost of collisions with the primary user (PU) and assign this cost to the FC, making it completely responsible for its allocation decision. With the help of CRs participating in the network, the FC makes a global inference on the availability of the spectrum followed by spectrum allocation. We investigate the optimal auction-based framework for spectrum allocation and also investigate the conditions under which such an auction is feasible. Note that the optimal auction forces the moderator to compensate the CRs for the sensing cost that they incur. Some numerical examples are presented for illustration.

Connected through hyperedge HE-1 (induced by source paper "prospect pricing in cognitive radio networks"):
  with members:
    - "integrating energy storage into the smart grid a prospect theoretic approach"
    - "quality of service games for spectrum sharing"
    - "a survey of smart data pricing past proposals current plans and future trends"

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.NI(Networking and Internet Architecture)