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: "concavity of entropy under thinning"
  Abstract: Building on the recent work of Johnson (2007) and Yu (2008), we prove that entropy is a concave function with respect to the thinning operation T_a. That is, if X and Y are independent random variables on Z_+ with ultra-log-concave probability mass functions, then H(T_a X+T_{1-a} Y)>= a H(X)+(1-a)H(Y), 0  = a h(X)+(1-a) h(Y), 0 <= a <= 1, which holds for continuous X and Y with finite variances and is equivalent to Shannon's entropy power inequality. As a consequence we establish a special case of a conjecture of Shepp and Olkin (1981).

Connected through hyperedge HE-1 (induced by source paper "thinning photonic beamsplitting and a general discrete entropy power inequality"):
  with members:
    - "a new entropy power inequality for integer valued random variables"
    - "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"

Connected through hyperedge HE-2 (induced by source paper "information theoretic proofs of entropy power inequalities"):
  with members:
    - "hessian and concavity of mutual information differential entropy and entropy power in linear vector gaussian channels"
    - "a multivariate generalization of costa s entropy power inequality"
    - "on divergence power inequalities"
    - "mixing and non mixing local minima of the entropy contrast for blind source separation"
    - "the gaussian multiple access wire tap channel with collective secrecy constraints"
    - "generalized entropy power inequalities and monotonicity properties of information"
    - "an extremal inequality motivated by multiterminal information theoretic problems"
    - "the gaussian multiple access wire tap channel"

Connected through hyperedge HE-3 (induced by source paper "monotonicity thinning and discrete versions of the entropy power inequality"):
  with members:
    - "thinning entropy and the law of thin numbers"
    - "monotonic convergence in an information theoretic law of small numbers"
    - "generalized entropy power inequalities and monotonicity properties of information"

Connected through hyperedge HE-4 (induced by source paper "monotonic convergence in an information theoretic law of small numbers"):
  with members:
    - "thinning entropy and the law of thin numbers"
    - "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)