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: "second order asymptotics for the gaussian mac with degraded message sets"
  Abstract: This paper studies the second-order asymptotics of the Gaussian multiple-access channel with degraded message sets. For a fixed average error probability    $ \varepsilon \in (0,1)$    and an arbitrary point on the boundary of the capacity region, we characterize the speed of convergence of rate pairs that converge to that boundary point for codes that have asymptotic error probability no larger than    $ \varepsilon $   . As a stepping stone to this local notion of the second-order asymptotics, we study a global notion, and establish relationships between the two. We provide a numerical example to illustrate how the angle of approach to a boundary point affects the second-order coding rate. This is the first conclusive characterization of the second-order asymptotics of a network information theory problem in which the capacity region is not a polygon.

Connected through hyperedge HE-1 (induced by source paper "second order region for gray wyner network"):
  with members:
    - "discrete lossy gray wyner revisited second order asymptotics large and moderate deviations"
    - "interactive communication for data exchange"
    - "strong successive refinability and rate distortion complexity tradeoff"
    - "asymptotic estimates in information theory with non vanishing error probabilities"
    - "information complexity density and simulation of protocols"
    - "strong converse and second order asymptotics of channel resolvability"
    - "channels with cost constraints strong converse and dispersion"
    - "secret key agreement general capacity and second order asymptotics"

Connected through hyperedge HE-2 (induced by source paper "second order and moderate deviation asymptotics for successive refinement"):
  with members:
    - "second order region for gray wyner network"
    - "strong successive refinability and rate distortion complexity tradeoff"
    - "asymptotic estimates in information theory with non vanishing error probabilities"
    - "second order coding rates for channels with state"
    - "a case where interference does not affect the channel dispersion"
    - "on the dispersions of three network information theory problems"
    - "on the dispersions of the gel fand pinsker channel and dirty paper coding"
    - "moderate deviations in channel coding"

Connected through hyperedge HE-3 (induced by source paper "asymptotic estimates in information theory with non vanishing error probabilities"):
  with members:
    - "the third order term in the normal approximation for the awgn channel"
    - "strong converse and second order asymptotics of channel resolvability"
    - "channels with cost constraints strong converse and dispersion"
    - "secret key agreement general capacity and second order asymptotics"
    - "second order coding rates for channels with state"
    - "unequal message protection asymptotic and non asymptotic tradeoffs"
    - "information spectrum approach to strong converse theorems for degraded wiretap channels"
    - "on the dispersions of three network information theory problems"

Connected through hyperedge HE-4 (induced by source paper "on gaussian channels with feedback under expected power constraints and with non vanishing error probabilities"):
  with members:
    - "strong converse theorems for classes of multimessage multicast networks a renyi divergence approach"
    - "a proof of the strong converse theorem for gaussian multiple access channels"
    - "asymptotic estimates in information theory with non vanishing error probabilities"
    - "the third order term in the normal approximation for the awgn channel"
    - "optimum power control at finite blocklength"
    - "second order rate region of constant composition codes for the multiple access channel"
    - "variations on a theme by schalkwijk and kailath"
    - "information spectrum approach to second order coding rate in channel coding"

Connected through hyperedge HE-5 (induced by source paper "the third order term in the normal approximation for the awgn channel"):
  with members:
    - "a tight upper bound for the third order asymptotics for most discrete memoryless channels"
    - "mismatched decoding error exponents second order rates and saddlepoint approximations"
    - "refinement of the random coding bound"
    - "a derivation of the asymptotic random coding prefactor"
    - "the third order term in the normal approximation for singular channels"
    - "the log volume of optimal codes for memoryless channels asymptotically within a few nats"
    - "a finite blocklength perspective on gaussian multi access channels"
    - "refinement of the sphere packing bound asymmetric channels"

Connected through hyperedge HE-6 (induced by source paper "a proof of the strong converse theorem for gaussian broadcast channels via the gaussian poincar e inequality"):
  with members:
    - "asymptotic estimates in information theory with non vanishing error probabilities"
    - "strong converse exponent for degraded broadcast channels at rates outside the capacity region"
    - "the gelfand pinsker channel strong converse and upper bound for the reliability function"

Connected through hyperedge HE-7 (induced by source paper "a case where interference does not affect the channel dispersion"):
  with members:
    - "the third order term in the normal approximation for the awgn channel"
    - "second order coding rates for channels with state"
    - "on the dispersions of three network information theory problems"
    - "a tight upper bound for the third order asymptotics for most discrete memoryless channels"
    - "second order rate region of constant composition codes for the multiple access channel"
    - "non asymptotic and second order achievability bounds for coding with side information"
    - "a finite blocklength perspective on gaussian multi access channels"
    - "lossy joint source channel coding in the finite blocklength regime"

Connected through hyperedge HE-8 (induced by source paper "second order asymptotics for the discrete memoryless mac with degraded message sets"):
  with members:
    - "on the dispersions of three network information theory problems"
    - "second order rate region of constant composition codes for the multiple access channel"
    - "a finite blocklength perspective on gaussian multi access channels"
    - "second order slepian wolf coding theorems for non mixed and mixed sources"
    - "information spectrum approach to second order coding rate in channel coding"

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)