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: "moderate deviations analysis of binary hypothesis testing"
  Abstract: This work refers to moderate-deviations analysis of binary hypothesis testing. It relies on a concentration inequality for discrete-parameter martingales with bounded jumps, which forms a refinement to the Azuma-Hoeffding inequality. Relations of the analysis to the moderate deviations principle for i.i.d. random variables and the relative entropy are considered.

Connected through hyperedge HE-1 (induced by source paper "arimoto r enyi conditional entropy and bayesian m ary hypothesis testing"):
  with members:
    - "guessing attacks on distributed storage systems"
    - "f divergence inequalities"
    - "list decoding random coding exponents and expurgated exponents"
    - "on the listsize capacity with feedback"
    - "encoding tasks and renyi entropy"
    - "renyi divergence and kullback leibler divergence"
    - "on multiple hypothesis testing with rejection option"
    - "guessing under source uncertainty"

Connected through hyperedge HE-2 (induced by source paper "reliability of sequential hypothesis testing can be achieved by an almost fixed length test"):
  with members:
    - "on multiple hypothesis testing with rejection option"

Connected through hyperedge HE-3 (induced by source paper "asymptotic estimates in information theory with non vanishing error probabilities"):
  with members:
    - "second order asymptotics for the gaussian mac with degraded message sets"
    - "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"

Connected through hyperedge HE-4 (induced by source paper "on the dispersions of three network information theory problems"):
  with members:
    - "fixed length lossy compression in the finite blocklength regime"
    - "on refined versions of the azuma hoeffding inequality with applications in information theory"
    - "the dispersion of lossy source coding"
    - "moderate deviations of lossy source coding for discrete and gaussian sources"
    - "the dispersion of joint source channel coding"
    - "the gelfand pinsker channel strong converse and upper bound for the reliability function"
    - "information spectrum approach to second order coding rate in channel coding"

Connected through hyperedge HE-5 (induced by source paper "moderate deviations in channel coding"):
  with members:
    - "on the dispersions of three network information theory problems"
    - "refinement of the random coding bound"
    - "finite dimensional infinite constellations"
    - "refinement of the sphere packing bound asymmetric channels"
    - "an information theoretic characterization of channels that die"
    - "fixed length lossy compression in the finite blocklength regime"
    - "on refined versions of the azuma hoeffding inequality with applications in information theory"
    - "the dispersion of lossy source coding"

Connected through hyperedge HE-6 (induced by source paper "refinement of the sphere packing bound asymmetric channels"):
  with members:
    - "refinement of the random coding bound"
    - "finite dimensional infinite constellations"
    - "moderate deviations of lossy source coding for discrete and gaussian sources"
    - "information spectrum approach to second order coding rate in channel coding"

Connected through hyperedge HE-7 (induced by source paper "on refined versions of the azuma hoeffding inequality with applications in information theory"):
  with members:
    - "on the concentration of the crest factor for ofdm signals"
    - "moderate deviations of lossy source coding for discrete and gaussian sources"
    - "on universal properties of capacity approaching ldpc code ensembles"
    - "information spectrum approach to second order coding rate in channel coding"
    - "channel polarization a method for constructing capacity achieving codes for symmetric binary input memoryless channels"
    - "tight bounds on the capacity of binary input random cdma systems"
    - "on the rate of channel polarization"
    - "tight bounds for ldpc and ldgm codes under map 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)