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: "binary de bruijn sequences via zech s logarithms"
  Abstract: The cycle joining method and the cross-join pairing are two main construction techniques for de Bruijn sequences. This work shows how to combine Zech's logarithms and each of the two techniques to efficiently construct binary de Bruijn sequences of large orders. A basic implementation is supplied as a proof-of-concept. #R##N#In the cycle joining method, the cycles are generated by an LFSR with a chosen period. We prove that determining Zech's logarithms is equivalent to identifying conjugate pairs shared by any pair of cycles. The approach quickly finds enough number of conjugate pairs between any two cycles to ensure the existence of trees containing all vertices in the adjacency graph of the LFSR. When the characteristic polynomial of the LFSR is a product of distinct irreducible polynomials, the approach via Zech's logarithms combines nicely with a recently proposed method to determine the conjugate pairs. This allows us to efficiently generate de Bruijn sequences with larger orders. Along the way, we establish new properties of Zech's logarithms. #R##N#The characterization of conjugate pairs via Zech's logarithms as positional markings is then adapted into identifying cross-join pairs in a de Bruijn sequence. We start from any de Bruijn sequence, although typically a modified $m$-sequence for ease of generation, and demonstrate how to use Zech's logarithms to identify all cross-join pairs in that sequence. The process can be repeated on each of the resulting sequences until a desired number of distinct sequences are produced. The computational process can be made more efficient by using a new analytic tool attributed to Fryers as well as prior algorithmic tools.

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)