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: "convolutional codes in rank metric with application to random network coding"
  Abstract: Random network coding recently attracts attention as a technique to disseminate information in a network. This paper considers a noncoherent multishot network, where the unknown and time-variant network is used several times. In order to create dependence between the different shots, particular convolutional codes in rank metric are used. These codes are so-called (partial) unit memory ((P)UM) codes, i.e., convolutional codes with memory one. First, distance measures for convolutional codes in rank metric are shown and two constructions of (P)UM codes in rank metric based on the generator matrices of maximum rank distance codes are presented. Second, an efficient error-erasure decoding algorithm for these codes is presented. Its guaranteed decoding radius is derived and its complexity is bounded. Finally, it is shown how to apply these codes for error correction in random linear and affine network coding.

Connected through hyperedge HE-1 (induced by source paper "locally repairable convolutional codes with sliding window repair"):
  with members:
    - "reliable and secure multishot network coding using linearized reed solomon codes"
    - "universal and dynamic locally repairable codes with maximal recoverability via sum rank codes"
    - "locally repairable codes with unequal local erasure correction"
    - "skew and linearized reed solomon codes and maximum sum rank distance codes over any division ring"
    - "bounds and constructions of codes with multiple localities"
    - "codes with unequal locality"
    - "superregular matrices and applications to convolutional codes"
    - "convolutional codes with maximum column sum rank for network streaming"

Connected through hyperedge HE-2 (induced by source paper "reliable and secure multishot network coding using linearized reed solomon codes"):
  with members:
    - "skew and linearized reed solomon codes and maximum sum rank distance codes over any division ring"
    - "relative generalized matrix weights of matrix codes for universal security on wire tap networks"
    - "sub quadratic decoding of gabidulin codes"
    - "relative generalized rank weight of linear codes and its applications to network coding"
    - "convolutional codes with maximum column sum rank for network streaming"
    - "bounds on list decoding of rank metric codes"
    - "universal secure network coding via rank metric codes"
    - "on partial unit memory codes based on gabidulin codes"

Connected through hyperedge HE-3 (induced by source paper "theory of supports for linear codes endowed with the sum rank metric"):
  with members:
    - "private information retrieval from locally repairable databases with colluding servers"
    - "on defining generalized rank weights"
    - "skew and linearized reed solomon codes and maximum sum rank distance codes over any division ring"
    - "new criteria for mrd and gabidulin codes and some rank metric code constructions"
    - "relative generalized matrix weights of matrix codes for universal security on wire tap networks"
    - "private information retrieval from coded databases with colluding servers"
    - "rank error correcting pairs"
    - "relative generalized rank weight of linear codes and its applications to network coding"

Connected through hyperedge HE-4 (induced by source paper "skew and linearized reed solomon codes and maximum sum rank distance codes over any division ring"):
  with members:
    - "generalized gabidulin codes over fields of any characteristic"
    - "matroidal structure of skew polynomial rings with application to network coding"
    - "on the similarities between generalized rank and hamming weights and their applications to network coding"
    - "convolutional codes with maximum column sum rank for network streaming"
    - "generalization of gabidulin codes over fields of rational functions"
    - "universal secure network coding via rank metric codes"
    - "on partial unit memory codes based on gabidulin codes"
    - "multishot codes for network coding using rank metric codes"

Connected through hyperedge HE-5 (induced by source paper "distributed decoding of convolutional network error correction codes"):
  with members:
    - "network error correction for unit delay memory free networks using convolutional codes"
    - "a rank metric approach to error control in random network coding"
    - "coding for errors and erasures in random network coding"

Connected through hyperedge HE-6 (induced by source paper "convolutional codes with maximum column sum rank for network streaming"):
  with members:
    - "layered constructions for low delay streaming codes"
    - "on the impact of a single edge on the network coding capacity"
    - "streaming codes for multicast over burst erasure channels"
    - "a new class of superregular matrices and mdp convolutional codes"
    - "decoding of convolutional codes over the erasure channel"
    - "multishot codes for network coding using rank metric codes"
    - "a rank metric approach to error control in random network coding"
    - "coding for errors and erasures in random network coding"

Connected through hyperedge HE-7 (induced by source paper "error correction for differential linear network coding in slowly varying networks"):
  with members:
    - "on partial unit memory codes based on gabidulin codes"
    - "communication over finite field matrix channels"
    - "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)