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: "circular shift linear network codes with arbitrary odd block lengths"
  Abstract: Circular-shift linear network coding (LNC) is a class of vector LNC with low encoding and decoding complexities, and with local encoding kernels chosen from cyclic permutation matrices. When    $L$    is a prime with primitive root 2, it was recently shown that a scalar linear solution over GF(   $2^{L-1}$   ) induces an    $L$   -dimensional circular-shift linear solution at rate    $(L-1)/L$   . In this paper, we prove that for arbitrary odd    $L$   , every scalar linear solution over GF(   $2^{m_{L}}$   ), where    $m_{L}$    refers to the multiplicative order of 2 modulo    $L$   , can induce an    $L$   -dimensional circular-shift linear solution at a certain rate. Based on the generalized connection, we further prove that for such    $L$    with    $m_{L}$    beyond a threshold, every multicast network has an    $L$   -dimensional circular-shift linear solution at rate    $\phi (L)/L$   , where    $\phi (L)$    is the Euler’s totient function of    $L$   . An efficient algorithm for constructing such a solution is designed. Finally, we prove that every multicast network is asymptotically circular-shift linearly solvable.

Connected through hyperedge HE-1 (induced by source paper "delay complexity trade off of random linear network coding in wireless broadcast"):
  with members:
    - "circular shift linear network coding"
    - "approximating throughput and packet decoding delay in linear network coded wireless broadcast"
    - "decoding delay performance of random linear network coding for broadcast"
    - "optimal control for network coding broadcast"
    - "on vector linear solvability of multicast networks"
    - "decoding and file transfer delay balancing in network coding broadcast"
    - "completion delay minimization for instantly decodable network codes"
    - "throughput delay analysis of random linear network coding for wireless broadcasting"

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)