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: "small weakly universal turing machines"
  Abstract: We give small universal Turing machines with state-symbol pairs of (6, 2), (3, 3) and (2, 4). These machines are weakly universal, which means that they have an infinitely repeated word to the left of their input and another to the right. They simulate Rule 110 and are currently the smallest known weakly universal Turing machines.

Connected through hyperedge HE-1 (induced by source paper "turing patterns with turing machines emergence and low level structure formation"):
  with members:
    - "program size versus time complexity speed up and slowdown phenomena in small turing machines"
    - "numerical evaluation of algorithmic complexity for short strings a glance into the innermost structure of randomness"
    - "compression based investigation of the dynamical properties of cellular automata and other systems"
    - "on the algorithmic nature of the world"

Connected through hyperedge HE-2 (induced by source paper "the complexity of small universal turing machines a survey"):
  with members:
    - "a concrete view of rule 110 computation"
    - "a particular universal cellular automaton"
    - "on the time complexity of 2 tag systems and small universal turing machines"

Connected through hyperedge HE-3 (induced by source paper "complejidad descriptiva y computacional en maquinas de turing pequenas"):
  with members:
    - "most programs stop quickly or never halt"

Connected through hyperedge HE-4 (induced by source paper "on the computational complexity of spiking neural p systems"):
  with members:
    - "a boundary between universality and non universality in spiking neural p systems"
    - "on the time complexity of 2 tag systems and small universal turing machines"

Connected through hyperedge HE-5 (induced by source paper "a concrete view of rule 110 computation"):
  with members:
    - "on the time complexity of 2 tag systems and small universal turing machines"

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)