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: "revisiting trace and testing equivalences for nondeterministic and probabilistic processes"
  Abstract: Two of the most studied extensions of trace and testing equivalences to#N#nondeterministic and probabilistic processes induce distinctions that have been#N#questioned and lack properties that are desirable. Probabilistic#N#trace-distribution equivalence differentiates systems that can perform the same#N#set of traces with the same probabilities, and is not a congruence for parallel#N#composition. Probabilistic testing equivalence, which relies only on extremal#N#success probabilities, is backward compatible with testing equivalences for#N#restricted classes of processes, such as fully nondeterministic processes or#N#generative/reactive probabilistic processes, only if specific sets of tests are#N#admitted. In this paper, new versions of probabilistic trace and testing#N#equivalences are presented for the general class of nondeterministic and#N#probabilistic processes. The new trace equivalence is coarser because it#N#compares execution probabilities of single traces instead of entire trace#N#distributions, and turns out to be compositional. The new testing equivalence#N#requires matching all resolutions of nondeterminism on the basis of their#N#success probabilities, rather than comparing only extremal success#N#probabilities, and considers success probabilities in a trace-by-trace fashion,#N#rather than cumulatively on entire resolutions. It is fully backward compatible#N#with testing equivalences for restricted classes of processes; as a#N#consequence, the trace-by-trace approach uniformly captures the standard#N#probabilistic testing equivalences for generative and reactive probabilistic#N#processes. The paper discusses in full details the new equivalences and#N#provides a simple spectrum that relates them with existing ones in the setting#N#of nondeterministic and probabilistic processes.

Connected through hyperedge HE-1 (induced by source paper "size based termination of higher order rewriting"):
  with members:
    - "higher order dependency pairs"
    - "termination of rewrite relations on λ terms based on girard s notion of reducibility"
    - "the computability path ordering"
    - "derivation lengths classification of godel s t extending howard s assignment"
    - "polynomial interpretations for higher order rewriting"
    - "type based termination inflationary fixed points and mixed inductive coinductive types"
    - "static dependency pair method based on strong computability for higher order rewrite systems"
    - "miniagda integrating sized and dependent types"

Connected through hyperedge HE-2 (induced by source paper "the theory of traces for systems with nondeterminism and probability"):
  with members:
    - "trace and testing metrics on nondeterministic probabilistic processes"
    - "convex language semantics for nondeterministic probabilistic automata"
    - "mixed powerdomains for probability and nondeterminism"
    - "the power of convex algebras"
    - "termination in convex sets of distributions"
    - "a convenient category for higher order probability theory"
    - "layer by layer combining monads"
    - "distribution based bisimulation for labelled markov processes"

Connected through hyperedge HE-3 (induced by source paper "trace and testing metrics on nondeterministic probabilistic processes"):
  with members:
    - "sos based modal decomposition on nondeterministic probabilistic processes"
    - "logical characterization of trace metrics"
    - "logical characterization of bisimulation metrics"
    - "the spectrum of strong behavioral equivalences for nondeterministic and probabilistic processes"
    - "characterising testing preorders for finite probabilistic processes"

Connected through hyperedge HE-4 (induced by source paper "convex language semantics for nondeterministic probabilistic automata"):
  with members:
    - "the power of convex algebras"
    - "probabilistic bisimulation naturally on distributions"
    - "towards a coalgebraic chomsky hierarchy"
    - "positivity problems for low order linear recurrence sequences"
    - "generalizing determinization from automata to coalgebras"

Connected through hyperedge HE-5 (induced by source paper "sos based modal decomposition on nondeterministic probabilistic processes"):
  with members:
    - "divide and congruence ii from decomposition of modal formulas to preservation of delay and weak bisimilarity"
    - "logical characterization of trace metrics"
    - "logical characterization of bisimulation metrics"
    - "logical metric and algorithmic characterisations of probabilistic bisimulation"

Connected through hyperedge HE-6 (induced by source paper "a probabilistic calculus of cyber physical systems"):
  with members:
    - "state of the art of cyber physical systems security an automatic control perspective"
    - "a formal approach to cyber physical attacks"
    - "a calculus of cyber physical systems"
    - "compositional bisimulation metric reasoning with probabilistic process calculi"
    - "modelling mac layer communications in wireless systems"

Connected through hyperedge HE-7 (induced by source paper "logical characterization of trace metrics"):
  with members:
    - "logical characterization of bisimulation metrics"
    - "logical metric and algorithmic characterisations of probabilistic bisimulation"
    - "game refinement relations and metrics"

Connected through hyperedge HE-8 (induced by source paper "the spectrum of strong behavioral equivalences for nondeterministic and probabilistic processes"):
  with members:
    - "bisimulations meet pctl equivalences for probabilistic automata"
    - "computing distances between probabilistic automata"
    - "characterising testing preorders for finite probabilistic processes"
    - "game refinement relations and metrics"

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)