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: "a class of linear codes with three weights"
  Abstract: Linear codes have been an interesting subject of study for many years. Recently, linear codes with few weights have been constructed and extensively studied. In this paper, for an odd prime p, a class of three-weight linear codes over Fp are constructed. The weight distributions of the linear codes are settled. These codes have applications in authentication codes, association schemes and data storage systems.

Connected through hyperedge HE-1 (induced by source paper "a construction of linear codes and their complete weight enumerators"):
  with members:
    - "a class of three weight linear codes and their complete weight enumerators"
    - "complete weight enumerators of a family of three weight linear codes"
    - "complete weight enumerators of some linear codes"
    - "complete weight enumerators of two classes of linear codes"
    - "linear codes from some 2 designs"
    - "a class of three weight and five weight linear codes"
    - "a class of two weight and three weight codes and their applications in secret sharing"

Connected through hyperedge HE-2 (induced by source paper "a class of linear codes with a few weights"):
  with members:
    - "a construction of binary linear codes from boolean functions"
    - "linear codes from a generic construction"
    - "linear codes from some 2 designs"
    - "linear codes with two or three weights from quadratic bent functions"
    - "a class of three weight and five weight linear codes"
    - "linear codes with two or three weights from weakly regular bent functions"
    - "a class of two weight and three weight codes and their applications in secret sharing"
    - "lossy compression via sparse linear regression computationally efficient encoding and decoding"

Connected through hyperedge HE-3 (induced by source paper "complete weight enumerators of two classes of linear codes"):
  with members:
    - "a class of three weight linear codes and their complete weight enumerators"
    - "complete weight enumerators of a family of three weight linear codes"
    - "complete weight enumerators of some linear codes"
    - "linear codes from some 2 designs"
    - "linear codes with two or three weights from quadratic bent functions"
    - "a class of two weight and three weight codes and their applications in secret sharing"
    - "a class of three weight cyclic codes"
    - "five families of three weight ternary cyclic codes and their duals"

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)