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 probabilistic approach to the random satisfiability problem"
  Abstract: In this note I will review some of the recent results that have been obtained in the probabilistic approach to the random satisfiability problem. At the present moment the results are only heuristic. In the case of the random 3-satisfiability problem a phase transition from the satisfiable to the unsatisfiable phase is found at $\alpha=4.267$. There are other values of $\alpha$ that separates different regimes and they will be described in details. In this context the properties of the survey decimation algorithm will also be discussed.

Connected through hyperedge HE-1 (induced by source paper "on sparse discretization for graphical games"):
  with members:
    - "graphical models for game theory"
    - "interdependent defense games modeling interdependent security under deliberate attacks"
    - "computing approximate nash equilibria and robust best responses using sampling"
    - "discretized multinomial distributions and nash equilibria in anonymous games"
    - "settling the complexity of computing two player nash equilibria"
    - "computing nash equilibria approximation and smoothed complexity"
    - "pure nash equilibria hard and easy games"
    - "a new look at survey propagation and its generalizations"

Connected through hyperedge HE-2 (induced by source paper "constraint optimization and statistical mechanics"):
  with members:
    - "some remarks on the survey decimation algorithm for k satisfiability"
    - "typical random 3 sat formulae and the satisfiability threshold"
    - "on the survey propagation equations for the random k satisfiability problem"

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)