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: "delay on broadcast erasure channels under random linear combinations"
  Abstract: We consider a transmitter broadcasting random linear combinations (over a field of size    $d$   ) formed from a block of    $c$    packets to a collection of    $n$    receivers, where the channels between the transmitter and each receiver are independent erasure channels with reception probabilities    $ \mathrm {q}= (q_{1},\ldots ,q_{n})$   . We establish several properties of the random delay until all    $n$    receivers have recovered all    $c$    packets, denoted    $Y_{n:n}^{(c)}$   . First, we provide lower and upper bounds, exact expressions, and a recurrence for the moments of    $Y_{n:n}^{(c)}$   . Second, we study the delay per packet    $Y_{n:n}^{(c)}/c$    as a function of    $c$   , including the asymptotic delay (as    $c \to \infty $   ) and monotonicity (in    $c$   ) properties of the delay per packet. Third, we employ extreme value theory to investigate    $Y_{n:n}^{(c)}$    as a function of    $n$    (as    $n \to \infty $   ). Several results are new, some results are extensions of existing results, and some results are the proofs of known results using new (probabilistic) proof techniques.

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)