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: "subset codes for packet networks"
  Abstract: In this paper, we present a coding-theoretic framework for message transmission over packet-switched networks. Network is modeled as a channel which can induce packet errors, deletions, insertions, and out of order delivery of packets. The proposed approach can be viewed as an extension of the one introduced by Kotter and Kschischang for networks based on random linear network coding. Namely, while their framework is based on subspace codes and designed for networks in which network nodes perform random linear combining of the packets, ours is based on the so-called subset codes, and is designed for networks employing routing in network nodes.

Connected through hyperedge HE-1 (induced by source paper "codes in the space of multisets coding for permutation channels with impairments"):
  with members:
    - "fundamental limits of dna storage systems"
    - "duplication correcting codes for data storage in the dna of living organisms"
    - "perfect codes in the discrete simplex"
    - "compressing sets and multisets of sequences"
    - "multiset codes for permutation channels"
    - "codes in permutations and error correction for rank modulation"

Connected through hyperedge HE-2 (induced by source paper "perfect codes in the discrete simplex"):
  with members:
    - "multiset codes for permutation channels"
    - "product constructions for perfect lee codes"
    - "a matroid framework for noncoherent random network communications"
    - "coding for errors and erasures in random network coding"

Connected through hyperedge HE-3 (induced by source paper "multiset codes for permutation channels"):
  with members:
    - "a matroid framework for noncoherent random network communications"
    - "coding for errors and erasures in random network coding"

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)