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: "spectrum sharing between wireless networks"
  Abstract: We consider the problem of two wireless networks operating on the same (presumably unlicensed) frequency band. Pairs within a given network cooperate to schedule transmissions, but between networks there is competition for spectrum. To make the problem tractable, we assume transmissions are scheduled according to a random access protocol where each network chooses an access probability for its users. A game between the two networks is defined. We characterize the Nash Equilibrium behavior of the system. Three regimes are identified; one in which both networks simultaneously schedule all transmissions; one in which the denser network schedules all transmissions and the sparser only schedules a fraction; and one in which both networks schedule only a fraction of their transmissions. The regime of operation depends on the pathloss exponent $\alpha$, the latter regime being desirable, but attainable only for $\alpha>4$. This suggests that in certain environments, rival wireless networks may end up naturally cooperating. To substantiate our analytical results, we simulate a system where networks iteratively optimize their access probabilities in a greedy manner. We also discuss a distributed scheduling protocol that employs carrier sensing, and demonstrate via simulations, that again a near cooperative equilibrium exists for sufficiently large $\alpha$.

Connected through hyperedge HE-1 (induced by source paper "the interplay of competition and cooperation among service providers part ii"):
  with members:
    - "the economics of competition and cooperation between mnos and mvnos"
    - "spectrum leasing and cooperative resource allocation in cognitive ofdma networks"
    - "investment and pricing with spectrum uncertainty a cognitive operator s perspective"
    - "spatial sinr games combining base station placement and mobile association"

Connected through hyperedge HE-2 (induced by source paper "two way transmission capacity of wireless ad hoc networks"):
  with members:
    - "optimal reverse carpooling over wireless networks a distributed optimization approach"
    - "an overview of the transmission capacity of wireless networks"
    - "transmission capacity of ad hoc networks with multiple antennas using transmit stream adaptation and interference cancelation"
    - "the impact of channel feedback on opportunistic relay selection for hybrid arq in wireless networks"
    - "spatial interference cancellation for multi antenna mobile ad hoc networks"
    - "bandwidth partitioning in decentralized wireless networks"
    - "fractional power control for decentralized wireless networks"
    - "transmission capacity of ad hoc networks with spatial diversity"

Connected through hyperedge HE-3 (induced by source paper "competition of wireless providers for atomic users"):
  with members:
    - "competition in wireless systems via bayesian interference games"
    - "pricing competition and routing for selfish and strategic nodes in multi hop relay networks"

Connected through hyperedge HE-4 (induced by source paper "on competing wireless service providers"):
  with members:
    - "competition in wireless systems via bayesian interference games"

Connected through hyperedge HE-5 (induced by source paper "spectrum allocation in two tier networks"):
  with members:
    - "power control in two tier femtocell networks"
    - "bandwidth partitioning in decentralized wireless networks"
    - "femtocell networks a survey"
    - "the effect of fading channel inversion and threshold scheduling on ad hoc networks"
    - "uplink capacity and interference avoidance for two tier femtocell networks"
    - "soft handoff and uplink capacity in a two tier cdma system"

Connected through hyperedge HE-6 (induced by source paper "bandwidth partitioning in decentralized wireless networks"):
  with members:
    - "fractional power control for decentralized wireless networks"
    - "rate constrained wireless networks with fading channels interference limited and noise limited regimes"
    - "the effect of fading channel inversion and threshold scheduling on ad hoc networks"
    - "optimizing the sinr operating point of spatial 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.IT(Information Theory)