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: "thinning entropy and the law of thin numbers"
  Abstract: Renyi's thinning operation on a discrete random variable is a natural discrete analog of the scaling operation for continuous random variables. The properties of thinning are investigated in an information-theoretic context, especially in connection with information-theoretic inequalities related to Poisson approximation results. The classical Binomial-to-Poisson convergence (sometimes referred to as the “law of small numbers”) is seen to be a special case of a thinning limit theorem for convolutions of discrete distributions. A rate of convergence is provided for this limit, and nonasymptotic bounds are also established. This development parallels, in part, the development of Gaussian inequalities leading to the information-theoretic version of the central limit theorem. In particular, a “thinning Markov chain” is introduced, and it is shown to play a role analogous to that of the Ornstein-Uhlenbeck process in connection to the entropy power inequality.

Connected through hyperedge HE-1 (induced by source paper "a de bruijn identity for discrete random variables"):
  with members:
    - "thinning photonic beamsplitting and a general discrete entropy power inequality"
    - "monotonicity thinning and discrete versions of the entropy power inequality"
    - "generalized entropy power inequalities and monotonicity properties of information"

Connected through hyperedge HE-2 (induced by source paper "entropies of weighted sums in cyclic groups and an application to polar codes"):
  with members:
    - "degrees of freedom in vector interference channels"
    - "entropy bounds on abelian groups and the ruzsa divergence"
    - "unified scaling of polar codes error exponent scaling exponent moderate deviations and error floors"
    - "finite length scaling for polar codes"
    - "sumset and inverse sumset inequalities for differential entropy and mutual information"
    - "a new entropy power inequality for integer valued random variables"
    - "entropy and set cardinality inequalities for partition determined functions"
    - "polar codes for q ary channels q 2 r"

Connected through hyperedge HE-3 (induced by source paper "an information theoretic perspective of the poisson approximation via the chen stein method"):
  with members:
    - "lower bounds on information divergence"
    - "monotonicity thinning and discrete versions of the entropy power inequality"
    - "sharp bounds on the entropy of the poisson law and related quantities"
    - "monotonic convergence in an information theoretic law of small numbers"

Connected through hyperedge HE-4 (induced by source paper "on the entropy of sums of bernoulli random variables via the chen stein method"):
  with members:
    - "an information theoretic perspective of the poisson approximation via the chen stein method"
    - "monotonicity thinning and discrete versions of the entropy power inequality"
    - "sharp bounds on the entropy of the poisson law and related quantities"
    - "monotonic convergence in an information theoretic law of small numbers"

Connected through hyperedge HE-5 (induced by source paper "entropy power inequality for a family of discrete random variables"):
  with members:
    - "monotonicity thinning and discrete versions of the entropy power inequality"
    - "monotonic convergence in an information theoretic law of small numbers"
    - "generalized entropy power inequalities and monotonicity properties of information"
    - "mutual information and minimum mean square error in gaussian channels"

Connected through hyperedge HE-6 (induced by source paper "monotonicity thinning and discrete versions of the entropy power inequality"):
  with members:
    - "concavity of entropy under thinning"
    - "monotonic convergence in an information theoretic law of small numbers"
    - "generalized entropy power inequalities and monotonicity properties of information"

Connected through hyperedge HE-7 (induced by source paper "monotonic convergence in an information theoretic law of small numbers"):
  with members:
    - "concavity of entropy under thinning"
    - "on an inequality of karlin and rinott concerning weighted sums of i i d random variables"
    - "on the entropy and log concavity of compound poisson measures"
    - "generalized entropy power inequalities and monotonicity properties of information"

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)