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: "gales and supergales are equivalent for defining constructive hausdorff dimension"
  Abstract: We show that for a wide range of probability measures, constructive gales are interchangable with constructive supergales for defining constructive Hausdorff dimension, thus generalizing a previous independent result of Hitchcock (cs.CC/0208043) and partially answering an open question of Lutz (cs.CC/0203017).

Connected through hyperedge HE-1 (induced by source paper "dimension extractors and optimal decompression"):
  with members:
    - "finite state dimension and lossy decompressors"
    - "every sequence is decompressible from a random one"
    - "effective strong dimension algorithmic information and computational complexity"
    - "gales suffice for constructive dimension"
    - "dimension in complexity classes"
    - "the dimensions of individual strings and sequences"

Connected through hyperedge HE-2 (induced by source paper "every sequence is decompressible from a random one"):
  with members:
    - "gales suffice for constructive dimension"
    - "dimension in complexity classes"
    - "the dimensions of individual strings and sequences"

Connected through hyperedge HE-3 (induced by source paper "the arithmetical complexity of dimension and randomness"):
  with members:
    - "effective strong dimension algorithmic information and computational complexity"
    - "gales suffice for constructive dimension"
    - "dimension in complexity classes"
    - "the dimensions of individual strings and sequences"

Connected through hyperedge HE-4 (induced by source paper "the dimensions of individual strings and sequences"):
  with members:
    - "gales suffice for constructive dimension"
    - "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.CC(Computational Complexity)