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: "information theoretic approach to strategic communication as a hierarchical game"
  Abstract: This paper analyzes the information disclosure problems originated in economics through the lens of information theory. Such problems are radically different from the conventional communication paradigms in information theory since they involve different objectives for the encoder and the decoder, which are aware of this mismatch and act accordingly. This leads, in our setting, to a hierarchical communication game, where the transmitter announces an encoding strategy with full commitment, and its distortion measure depends on a private information sequence whose realization is available at the transmitter. The receiver decides on its decoding strategy that minimizes its own distortion based on the announced encoding map and the statistics. Three problem settings are considered, focusing on the quadratic distortion measures, and jointly Gaussian source and private information: compression, communication, and the simple equilibrium conditions without any compression or communication. The equilibrium strategies and associated costs are characterized. The analysis is then extended to the receiver side information setting and the major changes in structure of optimal strategies are identified. Finally, an extension of the results to the broader context of decentralized stochastic control is presented.

Connected through hyperedge HE-1 (induced by source paper "dynamic information design a simple problem on optimal sequential information disclosure"):
  with members:
    - "optimal dynamic information provision in traffic routing"
    - "estimation with strategic sensors"

Connected through hyperedge HE-2 (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"
    - "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"
    - "the henchman problem measuring secrecy by the minimum distortion in a list"

Connected through hyperedge HE-3 (induced by source paper "on inference of network topology and confirmation bias in cyber social networks"):
  with members:
    - "semi blind inference of topologies and dynamical processes over dynamic graphs"
    - "polarization and fake news early warning of potential misinformation targets"
    - "opinion dynamics with varying susceptibility to persuasion"
    - "spread of information with confirmation bias in cyber social networks"
    - "fake news in social networks"
    - "optimal investment strategies for competing camps in a social network a broad framework"
    - "network inference from consensus dynamics"
    - "characterization and inference of graph diffusion processes from observations of stationary signals"

Connected through hyperedge HE-4 (induced by source paper "privacy preserving public release of datasets for support vector machine classification"):
  with members:
    - "bridging nonlinearities and stochastic regularizers with gaussian error linear units"
    - "privacy loss in apple s implementation of differential privacy on macos 10 12"
    - "a continuum among logarithmic linear and exponential functions and its potential to improve generalization in neural networks"
    - "gaussian error linear units gelus"
    - "the geometry of differential privacy the sparse and approximate cases"
    - "functional mechanism regression analysis under differential privacy"
    - "learning in a large function space privacy preserving mechanisms for svm learning"

Connected through hyperedge HE-5 (induced by source paper "optimal hierarchical signaling for quadratic cost measures and general distributions a copositive program characterization"):
  with members:
    - "robust sensor design against multiple attackers with misaligned control objectives"
    - "deception as defense framework for cyber physical systems"
    - "hierarchical multistage gaussian signaling games in noncooperative communication and control systems"
    - "algorithmic bayesian persuasion"
    - "estimation with strategic sensors"
    - "gossip algorithms for distributed signal processing"

Connected through hyperedge HE-6 (induced by source paper "deception as defense framework for cyber physical systems"):
  with members:
    - "robust sensor design against multiple attackers with misaligned control objectives"
    - "a game theoretic taxonomy and survey of defensive deception for cybersecurity and privacy"
    - "estimation with strategic sensors"

Connected through hyperedge HE-7 (induced by source paper "on the number of bins in equilibria for signaling games"):
  with members:
    - "crawford sobel meet lloyd max on the grid"
    - "estimation with strategic sensors"

Connected through hyperedge HE-8 (induced by source paper "information theoretic limits of strategic communication"):
  with members:
    - "information design for strategic coordination of autonomous devices with non aligned utilities"
    - "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"
    - "rate distortion theory for secrecy systems"

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)