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: "stochastic timed automata"
  Abstract: A stochastic timed automaton is a purely stochastic process defined on a timed automaton, in which both delays and discrete choices are made randomly. We study the almost-sure model-checking problem for this model, that is, given a stochastic timed automaton A and a property ϕ, we want to decide whether A satisfies ϕ with probability 1. In this paper, we identify several classes of automata and of properties for which this can be decided. The proof relies on the construction of a finite abstraction, called the thick graph, that we interpret as a finite Markov chain, and for which we can decide the almost-sure model-checking problem. Correctness of the abstraction holds when automata are almost-surely fair, which we show, is the case for two large classes of systems, single-clock automata and so-called weak-reactive automata. Techniques employed in this article gather tools from real-time verification and probabilistic verification, as well as topological games played on timed automata.

Connected through hyperedge HE-1 (induced by source paper "decisiveness of stochastic systems and its application to hybrid models"):
  with members:
    - "when are stochastic transition systems tameable"
    - "statistical model checking for stochastic hybrid systems"
    - "decisive markov chains"

Connected through hyperedge HE-2 (induced by source paper "attack trees for security and privacy in social virtual reality learning environments"):
  with members:
    - "the effect of iot new features on security and privacy new threats existing solutions and challenges yet to be solved"
    - "mobile edge computing fog et al a survey and analysis of security threats and challenges"
    - "security privacy and safety risk assessment for virtual reality learning environment applications"
    - "efficient probabilistic model checking of smart building maintenance using fault maintenance trees"
    - "towards a social virtual reality learning environment in high fidelity"

Connected through hyperedge HE-3 (induced by source paper "when are stochastic transition systems tameable"):
  with members:
    - "fixed delay events in generalized semi markov processes revisited"
    - "decisive markov chains"

Connected through hyperedge HE-4 (induced by source paper "stochastic timed games revisited"):
  with members:
    - "expected reachability time games"

Connected through hyperedge HE-5 (induced by source paper "lax functors and coalgebraic weak bisimulation"):
  with members:
    - "weak bisimulation for coalgebras over order enriched monads"
    - "behavioural equivalences for coalgebras with unobservable moves"
    - "on coalgebras with internal moves"
    - "coalgebraic weak bisimulation from recursive equations over monads"
    - "relating coalgebraic notions of bisimulation"
    - "generic trace semantics via coinduction"

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.LO(Logic in Computer Science)