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: "a game theoretic view of the interference channel impact of coordination and bargaining"
  Abstract: This work considers coordination and bargaining between two selfish users over a Gaussian interference channel. The usual information theoretic approach assumes full cooperation among users for codebook and rate selection. In the scenario investigated here, each user is willing to coordinate its actions only when an incentive exists and benefits of cooperation are fairly allocated. The users are first allowed to negotiate for the use of a simple Han-Kobayashi type scheme with fixed power split. Conditions for which users have incentives to cooperate are identified. Then, two different approaches are used to solve the associated bargaining problem. First, the Nash Bargaining Solution (NBS) is used as a tool to get fair information rates and the operating point is obtained as a result of an optimization problem. Next, a dynamic alternating-offer bargaining game (AOBG) from bargaining theory is introduced to model the bargaining process and the rates resulting from negotiation are characterized. The relationship between the NBS and the equilibrium outcome of the AOBG is studied and factors that may affect the bargaining outcome are discussed. Finally, under certain high signal-to-noise ratio regimes, the bargaining problem for the generalized degrees of freedom is studied.

Connected through hyperedge HE-1 (induced by source paper "secret key generation in many to one networks an integrated game theoretic and information theoretic approach"):
  with members:
    - "polar coding for the broadcast channel with confidential messages a random binning analogy"
    - "the capacity region of the source type model for secret key and private key generation"
    - "polar coding for secret key generation"
    - "separation of reliability and secrecy in rate limited secret key generation"
    - "a constrained evolutionary gaussian multiple access channel game"
    - "secret key and private key constructions for simple multiterminal source models"
    - "shannon meets nash on the interference channel"
    - "secret key generation for a pairwise independent network model"

Connected through hyperedge HE-2 (induced by source paper "repeated games for inter operator spectrum sharing"):
  with members:
    - "network formation games among relay stations in next generation wireless networks"
    - "cooperative game theory and the gaussian interference channel"

Connected through hyperedge HE-3 (induced by source paper "alternating offer bargaining games over the gaussian interference channel"):
  with members:
    - "capacity regions and sum rate capacities of vector gaussian interference channels"
    - "coordination and bargaining over the gaussian interference channel"
    - "capacity bounds for the gaussian interference channel"
    - "gaussian interference channel capacity to within one bit"
    - "cooperative game theory and the gaussian interference channel"

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)