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: "shannon meets nash on the interference channel"
  Abstract: The interference channel is the simplest communication scenario where multiple autonomous users compete for shared resources. We combine game theory and information theory to define a notion of a Nash equilibrium region of the interference channel. The notion is game theoretic: it captures the selfish behavior of each user as they compete. The notion is also information theoretic: it allows each user to use arbitrary communication strategies as it optimizes its own performance. We give an exact characterization of the Nash equilibrium region of the two-user linear deterministic interference channel and an approximate characterization of the Nash equilibrium region of the two-user Gaussian interference channel to within 1 bit/s/Hz..

Connected through hyperedge HE-1 (induced by source paper "strategic communication with side information at the decoder"):
  with members:
    - "strong coordination of signals and actions over noisy channels with two sided state information"
    - "persuasion with limited communication capacity"
    - "information design for strategic coordination of autonomous devices with non aligned utilities"
    - "information theoretic approach to strategic communication as a hierarchical game"
    - "on the role of side information in strategic communication"
    - "persuasion with limited communication"
    - "algorithmic bayesian persuasion"
    - "empirical coordination with two sided state information and correlated source and state"

Connected through hyperedge HE-2 (induced by source paper "information theoretic limits of strategic communication"):
  with members:
    - "information design for strategic coordination of autonomous devices with non aligned utilities"
    - "information theoretic approach to strategic communication as a hierarchical game"
    - "persuasion with limited communication"
    - "algorithmic bayesian persuasion"
    - "constrained source coding with side information"
    - "estimation with strategic sensors"
    - "nash codes for noisy channels"
    - "perfect output feedback in the two user decentralized interference channel"

Connected through hyperedge HE-3 (induced by source paper "approximate nash region of the gaussian interference channel with noisy output feedback"):
  with members:
    - "nash region of the linear deterministic interference channel with noisy output feedback"
    - "perfect output feedback in the two user decentralized interference channel"
    - "feedback capacity of the gaussian interference channel to within 2 bits"
    - "gaussian interference channel capacity to within one bit"

Connected through hyperedge HE-4 (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 game theoretic view of the interference channel impact of coordination and bargaining"
    - "a constrained evolutionary gaussian multiple access channel game"
    - "secret key and private key constructions for simple multiterminal source models"
    - "secret key generation for a pairwise independent network model"

Connected through hyperedge HE-5 (induced by source paper "game theoretic dynamic channel allocation for frequency selective interference channels"):
  with members:
    - "approximate best response dynamics in random interference games"
    - "asymptotically optimal distributed channel allocation a competitive game theoretic approach"
    - "fully distributed optimal channel assignment for open spectrum access"
    - "on the nash equilibria in decentralized parallel interference channels"
    - "learning equilibria with partial information in decentralized wireless networks"
    - "game theory and the frequency selective interference channel"
    - "the mimo iterative waterfilling algorithm"
    - "competitive design of multiuser mimo systems based on game theory a unified view"

Connected through hyperedge HE-6 (induced by source paper "nash region of the linear deterministic interference channel with noisy output feedback"):
  with members:
    - "approximate capacity of the gaussian interference channel with noisy channel output feedback"
    - "perfect output feedback in the two user decentralized interference channel"
    - "feedback capacity of the gaussian interference channel to within 2 bits"
    - "the two user gaussian interference channel a deterministic view"

Connected through hyperedge HE-7 (induced by source paper "noisy channel output feedback capacity of the linear deterministic interference channel"):
  with members:
    - "capacity of all nine models of channel output feedback for the two user interference channel"
    - "perfect output feedback in the two user decentralized interference channel"
    - "an outer bound for the memoryless two user interference channel with general cooperation"
    - "interference channels with source cooperation"
    - "interference channels with rate limited feedback"
    - "interference channels with destination cooperation"
    - "feedback capacity of the gaussian interference channel to within 2 bits"
    - "the two user gaussian interference channel a deterministic view"

Connected through hyperedge HE-8 (induced by source paper "joint empirical coordination of source and channel"):
  with members:
    - "strong coordination of signals and actions over noisy channels"
    - "information design for strategic coordination of autonomous devices with non aligned utilities"
    - "polar coding for empirical coordination of signals and actions over noisy channels"
    - "coordination in distributed networks via coded actions with application to power control"
    - "secure cascade channel synthesis"
    - "strong coordination over multi hop line networks"
    - "zero error coordination"
    - "empirical coordination with two sided state information and correlated source and state"

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)