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: "on the size of lempel ziv and lyndon factorizations"
  Abstract: Lyndon factorization and Lempel-Ziv (LZ) factorization are both important tools for analysing the structure and complexity of strings, but their combinatorial structure is very different. In this paper, we establish the first direct connection between the two by showing that while the Lyndon factorization can be bigger than the non-overlapping LZ factorization (which we demonstrate by describing a new, non-trivial family of strings) it is never more than twice the size.

Connected through hyperedge HE-1 (induced by source paper "lyndon words versus inverse lyndon words queries on suffixes and bordered words"):
  with members:
    - "some variations on lyndon words"
    - "inverse lyndon words and inverse lyndon factorizations of words"
    - "on generalized lyndon words"
    - "the runs theorem"
    - "fsg fast string graph construction for de novo assembly of reads data"
    - "an external memory algorithm for string graph construction"
    - "alternative algorithms for lyndon factorization"
    - "sorting suffixes of a text via its lyndon factorization"

Connected through hyperedge HE-2 (induced by source paper "inverse lyndon words and inverse lyndon factorizations of words"):
  with members:
    - "alternative algorithms for lyndon factorization"
    - "sorting suffixes of a text via its lyndon factorization"
    - "lyndon words and short superstrings"
    - "a bijective string sorting transform"
    - "on bijective variants of the burrows wheeler transform"
    - "a note on the burrows wheeler transformation"

Connected through hyperedge HE-3 (induced by source paper "optimal construction of compressed indexes for highly repetitive texts"):
  with members:
    - "time space trade offs for lempel ziv compressed indexing"
    - "at the roots of dictionary compression string attractors"
    - "optimal time text indexing in bwt runs bounded space"
    - "space efficient construction of compressed indexes in deterministic linear time"
    - "linear time construction of compressed text indices in compact space"
    - "queries on lz bounded encodings"
    - "approximation of grammar based compression via recompression"

Connected through hyperedge HE-4 (induced by source paper "comparison of lz77 type parsings"):
  with members:
    - "at the roots of dictionary compression string attractors"
    - "relations between greedy and bit optimal lz77 encodings"
    - "optimal time text indexing in bwt runs bounded space"
    - "a separation between run length slps and lz77"
    - "approximation of grammar based compression via recompression"
    - "pattern matching in lempel ziv compressed strings fast simple and deterministic"

Connected through hyperedge HE-5 (induced by source paper "lempel ziv a one bit catastrophe but not a tragedy"):
  with members:
    - "computing absolutely normal numbers in nearly linear time"
    - "polylog space compression pushdown compression and lempel ziv are incomparable"
    - "dimension in complexity classes"

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.DS(Data Structures and Algorithms)