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: "construction and covering properties of constant dimension codes"
  Abstract: Constant-dimension codes (CDCs) have been investigated for noncoherent error correction in random network coding. The maximum cardinality of CDCs with given minimum distance and how to construct optimal CDCs are both open problems, although CDCs obtained by lifting Gabidulin codes, referred to as KK codes, are nearly optimal. In this paper, we first construct a new class of CDCs based on KK codes, referred to as augmented KK codes, whose cardinalities are greater than previously proposed CDCs. We then propose a low-complexity decoding algorithm for our augmented KK codes using that for KK codes. Our decoding algorithm corrects more errors than a bounded subspace distance decoder by taking advantage of the structure of our augmented KK codes. In the rest of the paper we investigate the covering properties of CDCs. We first derive bounds on the minimum cardinality of a CDC with a given covering radius and then determine the asymptotic behavior of this quantity. Moreover, we show that liftings of rank metric codes have the highest possible covering radius, and hence liftings of rank metric codes are not optimal packing CDCs. Finally, we construct good covering CDCs by permuting liftings of rank metric codes.

Connected through hyperedge HE-1 (induced by source paper "a new construction for constant weight codes"):
  with members:
    - "cyclic orbit codes"
    - "recursive code construction for random networks"
    - "a rank metric approach to error control in random network coding"
    - "construction of large constant dimension codes with a prescribed minimum distance"
    - "coding for errors and erasures in random network coding"
    - "johnson type bounds on constant dimension codes"

Connected through hyperedge HE-2 (induced by source paper "enumerative coding for grassmannian space"):
  with members:
    - "large constant dimension codes and lexicodes"
    - "recursive code construction for random networks"
    - "on metrics for error correction in network coding"
    - "error correcting codes in projective spaces via rank metric codes and ferrers diagrams"
    - "spread codes and spread decoding in network coding"
    - "a rank metric approach to error control in random network coding"
    - "construction of large constant dimension codes with a prescribed minimum distance"
    - "on the decoder error probability of rank metric codes and constant dimension codes"

Connected through hyperedge HE-3 (induced by source paper "constant rank codes and their connection to constant dimension codes"):
  with members:
    - "recursive code construction for random networks"
    - "on metrics for error correction in network coding"
    - "error correcting codes in projective spaces via rank metric codes and ferrers diagrams"
    - "a rank metric approach to error control in random network coding"
    - "construction of large constant dimension codes with a prescribed minimum distance"
    - "bounds on covering codes with the rank metric"
    - "coding for errors and erasures in random network coding"
    - "macwilliams identity for codes with the rank metric"

Connected through hyperedge HE-4 (induced by source paper "packing and covering properties of subspace codes for error control in random linear network coding"):
  with members:
    - "recursive code construction for random networks"
    - "on metrics for error correction in network coding"
    - "error correcting codes in projective spaces via rank metric codes and ferrers diagrams"
    - "a rank metric approach to error control in random network coding"
    - "construction of large constant dimension codes with a prescribed minimum distance"
    - "bounds on covering codes with the rank metric"
    - "coding for errors and erasures in random network coding"
    - "johnson type bounds on constant dimension codes"

Connected through hyperedge HE-5 (induced by source paper "packing and covering properties of subspace codes"):
  with members:
    - "recursive code construction for random networks"
    - "on metrics for error correction in network coding"
    - "a rank metric approach to error control in random network coding"
    - "bounds on covering codes with the rank metric"
    - "coding for errors and erasures in random network coding"
    - "johnson type bounds on constant dimension codes"

Connected through hyperedge HE-6 (induced by source paper "on the decoder error probability of rank metric codes and constant dimension codes"):
  with members:
    - "on metrics for error correction in network coding"
    - "error correcting codes in projective spaces via rank metric codes and ferrers diagrams"
    - "packing and covering properties of subspace codes"
    - "a rank metric approach to error control in random network coding"
    - "bounds on covering codes with the rank metric"
    - "coding for errors and erasures in random network coding"

Connected through hyperedge HE-7 (induced by source paper "bounds on covering codes with the rank metric"):
  with members:
    - "a rank metric approach to error control in random network coding"
    - "coding for errors and erasures in random network coding"
    - "packing and covering properties of rank metric codes"

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)