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: "the rapid points of a complex oscillation"
  Abstract: By considering a counting-type argument on Brownian sample paths, we prove a#N#result similar to that of Orey and Taylor on the exact Hausdorff dimension of#N#the rapid points of Brownian motion. Because of the nature of the proof we can#N#then apply the concepts to so-called complex oscillations (or 'algorithmically#N#random Brownian motion'), showing that their rapid points have the same#N#dimension.

Connected through hyperedge HE-1 (induced by source paper "kolmogorov complexity and the geometry of brownian motion"):
  with members:
    - "computability of probability measures and martin lof randomness over metric spaces"
    - "split 2 bisimilarity has a finite axiomatization over ccs with hennessy s merge"
    - "uniform test of algorithmic randomness over a general space"

Connected through hyperedge HE-2 (induced by source paper "fourier spectra of measures associated with algorithmically random brownian motion"):
  with members:
    - "kolmogorov complexity and the geometry of brownian motion"
    - "diophantine properties of brownian motion recursive aspects"
    - "some theorems on the algorithmic approach to probability theory and information theory"
    - "computability of probability measures and martin lof randomness over metric spaces"
    - "uniform test of algorithmic randomness over a general space"

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)