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: "on refined versions of the azuma hoeffding inequality with applications in information theory"
  Abstract: This is a survey paper with some original results of the author on refined versions of the Azuma-Hoeffding inequality with some examples that are related to information theory. This work has evolved to the joint paper with Maxim Raginsky in arXiv:1212.4663v3.

Connected through hyperedge HE-1 (induced by source paper "on the dispersions of three network information theory problems"):
  with members:
    - "moderate deviations analysis of binary hypothesis testing"
    - "fixed length lossy compression in the finite blocklength regime"
    - "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-2 (induced by source paper "limits of csp problems and efficient parameter testing"):
  with members:
    - "approximation schemes for the betweenness problem in tournaments and related ranking problems"
    - "linear time approximation schemes for the gale berlekamp game and related minimization problems"

Connected through hyperedge HE-3 (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"
    - "moderate deviations analysis of binary hypothesis testing"
    - "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"
    - "the dispersion of lossy source coding"

Connected through hyperedge HE-4 (induced by source paper "moderate deviations analysis of binary hypothesis testing"):
  with members:
    - "on the concentration of the crest factor for ofdm signals"
    - "moderate deviations of lossy source coding for discrete and gaussian sources"

Connected through hyperedge HE-5 (induced by source paper "moderate deviations of lossy source coding for discrete and gaussian sources"):
  with members:
    - "on the dispersions of three network information theory problems"
    - "the dispersion of lossy source coding"
    - "information spectrum approach to second order coding rate in channel coding"

Connected through hyperedge HE-6 (induced by source paper "on the concentration of the crest factor for ofdm signals"):
  with members:
    - "tight bounds on the capacity of binary input random cdma 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)