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: "quality sensitive price competition in spectrum oligopoly"
  Abstract: We investigate a spectrum oligopoly where primary users allow secondary access in lieu of financial remuneration. Transmission qualities of the licensed bands fluctuate randomly. Each primary needs to select the price of its channel with the knowledge of its own channel state but not that of its competitors. Secondaries choose among the channels available on sale based on their states and prices. We formulate the price selection as a non-cooperative game and prove that a symmetric Nash equilibrium (NE) strategy profile exists uniquely. We explicitly compute this strategy profile and analytically and numerically evaluate its efficiency. Our structural results provide certain key insights about the unique symmetric NE.

Connected through hyperedge HE-1 (induced by source paper "price competition with lte u and wifi"):
  with members:
    - "contract based incentive mechanism for lte over unlicensed channels"
    - "ruin theory for dynamic spectrum allocation in lte u networks"
    - "the impact of bundling licensed and unlicensed wireless service"
    - "ltfi cross technology communication for rrm between lte u and ieee 802 11"
    - "a multi game framework for harmonized lte u and wifi coexistence over unlicensed bands"
    - "auction based coopetition between lte unlicensed and wi fi"
    - "the cost of free spectrum"

Connected through hyperedge HE-2 (induced by source paper "the value of side information in secondary spectrum markets"):
  with members:
    - "secondary spectrum market to acquire or not to acquire side information"
    - "quality sensitive price competition in spectrum oligopoly part ii"
    - "competition between wireless service providers pricing equilibrium and efficiency"
    - "competition with dynamic spectrum leasing"

Connected through hyperedge HE-3 (induced by source paper "uncertain price competition in a duopoly with heterogeneous availability"):
  with members:
    - "market based power allocation for a differentially priced fdma system"
    - "a survey of smart data pricing past proposals current plans and future trends"

Connected through hyperedge HE-4 (induced by source paper "strategic interaction among different entities in internet of things"):
  with members:
    - "a study of non neutral networks with usage based prices"

Connected through hyperedge HE-5 (induced by source paper "quality sensitive price competition in spectrum oligopoly part ii"):
  with members:
    - "competition with dynamic spectrum leasing"

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)