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: "empirical coordination with two sided state information and correlated source and state"
  Abstract: The coordination of autonomous agents is a critical issue for decentralized communication networks. Instead of transmitting information, the agents interact in a coordinated manner in order to optimize a general objective function. A target joint probability distribution is achievable if there exists a code such that the sequences of symbols are jointly typical. The empirical coordination is strongly related to the joint source-channel coding with two-sided state information and correlated source and state. This problem is also connected to state communication and is open for non-causal encoder and decoder. We characterize the optimal solutions for perfect channel, for lossless decoding, for independent source and channel, for causal encoding and for causal decoding.

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"
    - "the henchman problem measuring secrecy by the minimum distortion in a list"

Connected through hyperedge HE-2 (induced by source paper "coordination through shared randomness"):
  with members:
    - "communication for generating correlation a survey"
    - "on the optimality of secret key agreement via omniscience"
    - "polar coding for empirical coordination of signals and actions over noisy channels"
    - "on the public communication needed to achieve sk capacity in the multiterminal source model"
    - "secure cascade channel synthesis"
    - "on non interactive simulation of joint distributions"
    - "empirical coordination with channel feedback and strictly causal or causal encoding"
    - "exact common information"

Connected through hyperedge HE-3 (induced by source paper "empirical coordination subject to a fidelity criterion"):
  with members:
    - "strong coordination of signals and actions over noisy channels"
    - "information design for strategic coordination of autonomous devices with non aligned utilities"
    - "coordination in distributed networks via coded actions with application to power control"
    - "empirical coordination with channel feedback and strictly causal or causal encoding"
    - "empirical coordination in a triangular multiterminal network"

Connected through hyperedge HE-4 (induced by source paper "information design for strategic coordination of autonomous devices with non aligned utilities"):
  with members:
    - "on the role of side information in strategic communication"
    - "empirical and strong coordination via soft covering with polar codes"
    - "polar coding for empirical coordination of signals and actions over noisy channels"
    - "coordination in distributed networks via coded actions with application to power control"
    - "empirical coordination with channel feedback and strictly causal or causal encoding"
    - "correlation between channel state and information source with empirical coordination constraint"
    - "rate distortion theory for secrecy systems"
    - "hybrid codes needed for coordination over the point to point channel"

Connected through hyperedge HE-5 (induced by source paper "polar coding for empirical coordination of signals and actions over noisy channels"):
  with members:
    - "coordination in distributed networks via coded actions with application to power control"
    - "empirical coordination for joint source channel coding"
    - "polar coding for the broadcast channel with confidential messages a random binning analogy"
    - "coded power control performance analysis"
    - "correlation between channel state and information source with empirical coordination constraint"
    - "polar coding for secret key generation"
    - "universal polar codes"
    - "strong coordination with polar codes"

Connected through hyperedge HE-6 (induced by source paper "empirical coordination with channel feedback and strictly causal or causal encoding"):
  with members:
    - "coordination in distributed networks via coded actions with application to power control"
    - "correlation between channel state and information source with empirical coordination constraint"
    - "empirical coordination in a triangular multiterminal network"
    - "strong coordination with polar codes"
    - "hybrid codes needed for coordination over the point to point channel"
    - "coordination using implicit communication"
    - "an achievable rate region for the broadcast wiretap channel with asymmetric side information"

Connected through hyperedge HE-7 (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 channel feedback and strictly causal or causal encoding"

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)