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: "error exponents for broadcast channels with degraded message sets"
  Abstract: We consider a broadcast channel with a degraded message set, in which a single transmitter sends a common message to two receivers and a private message to one of the receivers only. The main goal of this work is to find new lower bounds to the error exponents of the strong user, the one that should decode both messages, and of the weak user, that should decode only the common message. Unlike previous works, where suboptimal decoders where used, the exponents we derive in this work pertain to optimal decoding and depend on both rates. We take two different approaches. #R##N#The first approach is based, in part, on variations of Gallager-type bounding techniques that were presented in a much earlier work on error exponents for erasure/list decoding. The resulting lower bounds are quite simple to understand and to compute. #R##N#The second approach is based on a technique that is rooted in statistical physics, and it is exponentially tight from the initial step and onward. This technique is based on analyzing the statistics of certain enumerators. Numerical results show that the bounds obtained by this technique are tighter than those obtained by the first approach and previous results. The derivation, however, is more complex than the first approach and the retrieved exponents are harder to compute.

Connected through hyperedge HE-1 (induced by source paper "operational interpretation of renyi information measures via composite hypothesis testing against product and markov distributions"):
  with members:
    - "secure multiplex coding with dependent and non uniform multiple messages"
    - "two measures of dependence"
    - "uniform random number generation from markov chains non asymptotic and asymptotic analyses"
    - "equivocations exponents and second order coding rates under various r enyi information measures"
    - "universal channel coding for exponential family of channels"
    - "universal channel coding for general output alphabet"
    - "converses for secret key agreement and secure computing"
    - "encoding tasks and renyi entropy"

Connected through hyperedge HE-2 (induced by source paper "exact error and erasure exponents for the asymmetric broadcast channel"):
  with members:
    - "exact random coding exponents and universal decoders for the asymmetric broadcast channel"
    - "expurgated bounds for the asymmetric broadcast channel"
    - "random coding error exponents for the two user interference channel"
    - "simplified erasure list decoding"
    - "asymmetric evaluations of erasure and undetected error probabilities"
    - "exact random coding error exponents of optimal bin index decoding"
    - "erasure list random coding error exponents are not universally achievable"
    - "a neyman pearson approach to universal erasure and list decoding"

Connected through hyperedge HE-3 (induced by source paper "unequal error protection querying policies for the noisy 20 questions problem"):
  with members:
    - "non adaptive policies for 20 questions target localization"
    - "collaborative 20 questions for target localization"

Connected through hyperedge HE-4 (induced by source paper "expurgated bounds for the asymmetric broadcast channel"):
  with members:
    - "exact random coding exponents and universal decoders for the asymmetric broadcast channel"
    - "the generalized stochastic likelihood decoder random coding and expurgated bounds"
    - "list decoding random coding exponents and expurgated exponents"
    - "exact random coding error exponents of optimal bin index decoding"

Connected through hyperedge HE-5 (induced by source paper "exact random coding exponents and universal decoders for the asymmetric broadcast channel"):
  with members:
    - "exact random coding error exponents of optimal bin index decoding"

Connected through hyperedge HE-6 (induced by source paper "analysis of remaining uncertainties and exponents under various conditional r e nyi entropies"):
  with members:
    - "uniform random number generation from markov chains non asymptotic and asymptotic analyses"
    - "security analysis of varepsilon almost dual universal 2 hash functions smoothing of min entropy versus smoothing of renyi entropy of order 2"
    - "asymptotic estimates in information theory with non vanishing error probabilities"
    - "equivocations exponents and second order coding rates under various r enyi information measures"
    - "asymmetric evaluations of erasure and undetected error probabilities"
    - "list decoding random coding exponents and expurgated exponents"
    - "encoding tasks and renyi entropy"
    - "secure multiterminal source coding with side information at the eavesdropper"

Connected through hyperedge HE-7 (induced by source paper "secure multiplex coding with dependent and non uniform multiple messages"):
  with members:
    - "operational interpretation of renyi information measures via composite hypothesis testing against product and markov distributions"
    - "tight exponential analysis of universally composable privacy amplification and its applications"
    - "exponential decreasing rate of leaked information in universal random privacy amplification"
    - "secure multiplex coding with a common message"
    - "universal strongly secure network coding with dependent and non uniform messages"
    - "universally attainable error and information exponents and equivocation rate for the broadcast channels with confidential messages"
    - "achieving the secrecy capacity of wiretap channels using polar codes"
    - "construction of wiretap codes from ordinary channel codes"

Connected through hyperedge HE-8 (induced by source paper "mismatched multi letter successive decoding for the multiple access channel"):
  with members:
    - "random coding error exponents for the two user interference channel"
    - "re proving channel polarization theorems an extremality and robustness analysis"
    - "polarization as a novel architecture to boost the classical mismatched capacity of b dmcs"
    - "a technique for deriving one shot achievability results in network information theory"
    - "multiuser coding techniques for mismatched decoding"
    - "mismatched decoding error exponents second order rates and saddlepoint approximations"
    - "a general formula for the mismatch capacity"
    - "on achievable rates for channels with mismatched decoding"

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)