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: "first order and temporal logics for nested words"
  Abstract: Nested words are a structured model of execution paths in procedural#N#programs, reflecting their call and return nesting structure. Finite nested#N#words also capture the structure of parse trees and other tree-structured data,#N#such as XML. We provide new temporal logics for finite and infinite nested#N#words, which are natural extensions of LTL, and prove that these logics are#N#first-order expressively-complete. One of them is based on adding a "within"#N#modality, evaluating a formula on a subword, to a logic CaRet previously#N#studied in the context of verifying properties of recursive state machines#N#(RSMs). The other logic, NWTL, is based on the notion of a summary path that#N#uses both the linear and nesting structures. For NWTL we show that#N#satisfiability is EXPTIME-complete, and that model-checking can be done in time#N#polynomial in the size of the RSM model and exponential in the size of the NWTL#N#formula (and is also EXPTIME-complete). Finally, we prove that first-order#N#logic over nested words has the three-variable property, and we present a#N#temporal logic for nested words which is complete for the two-variable fragment#N#of first-order.

Connected through hyperedge HE-1 (induced by source paper "model checking the interval way"):
  with members:
    - "complexity of timeline based planning over dense temporal domains exploring the middle ground"
    - "interval vs point temporal logic model checking an expressiveness comparison"
    - "model checking for fragments of halpern and shoham s interval temporal logic based on track representatives"
    - "on the complexity of model checking for syntactically maximal fragments of the interval temporal logic hs with regular expressions"
    - "checking interval properties of computations"
    - "complexity hierarchies beyond elementary"
    - "complexity of itl model checking some well behaved fragments of the interval logic hs"
    - "interval based synthesis"

Connected through hyperedge HE-2 (induced by source paper "backward induction for repeated games"):
  with members:
    - "monad transformers for backtracking search"
    - "the herbrand functional interpretation of the double negation shift"
    - "exhaustible sets in higher type computation"

Connected through hyperedge HE-3 (induced by source paper "temporal logic and model checking for operator precedence languages"):
  with members:
    - "generalizing input driven languages theoretical and practical benefits"

Connected through hyperedge HE-4 (induced by source paper "generalizing input driven languages theoretical and practical benefits"):
  with members:
    - "higher order operator precedence languages"
    - "weighted operator precedence languages"
    - "weighted automata and logics for infinite nested words"
    - "precedence automata and languages"

Connected through hyperedge HE-5 (induced by source paper "decidability results for multi objective stochastic games"):
  with members:
    - "perfect information stochastic games with generalized mean payoff objectives"
    - "quantitative games with interval objectives"
    - "robust multidimensional mean payoff games are undecidable"
    - "the complexity of multi mean payoff and multi energy games"
    - "strategy synthesis for multi dimensional quantitative objectives"
    - "multi objective model checking of markov decision processes"

Connected through hyperedge HE-6 (induced by source paper "hankel matrices for weighted visibly pushdown automata"):
  with members:
    - "on the complexity of equivalence and minimisation for q weighted automata"
    - "weighted automata and monadic second order logic"
    - "measuring and synthesizing systems in probabilistic environments"
    - "weighted logics for nested words and algebraic formal power series"
    - "probabilistic weighted automata"
    - "a spectral algorithm for learning hidden markov models"

Connected through hyperedge HE-7 (induced by source paper "streaming property testing of visibly pushdown languages"):
  with members:
    - "validating xml documents in the streaming model with external memory"
    - "recognizing well parenthesized expressions in the streaming model"
    - "logics for unranked trees an overview"

Connected through hyperedge HE-8 (induced by source paper "permissive controller synthesis for probabilistic systems"):
  with members:
    - "measuring permissiveness in parity games mean payoff parity games revisited"
    - "multi objective model checking of markov decision processes"

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)