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: "a survey on operational state complexity"
  Abstract: Descriptional complexity is the study of the conciseness of the various models representing formal languages. The state complexity of a regular language is the size, measured by the number of states of the smallest, either deterministic or nondeterministic, finite automaton that recognises it. Operational state complexity is the study of the state complexity of operations over languages. In this survey, we review the state complexities of individual regularity preserving language operations on regular and some subregular languages. Then we revisit the state complexities of the combination of individual operations. We also review methods of estimation and approximation of state complexity of more complex combined operations.

Connected through hyperedge HE-1 (induced by source paper "algebraic and combinatorial tools for state complexity application to the star xor problem"):
  with members:
    - "a general approach to state complexity of operations formalization and limitations"
    - "on the state complexity of the shuffle of regular languages"
    - "state complexity of catenation combined with a boolean operation a unified approach"

Connected through hyperedge HE-2 (induced by source paper "lower bounds for the state complexity of probabilistic languages and the language of prime numbers"):
  with members:
    - "distributed graph automata"
    - "distributed graph automata"

Connected through hyperedge HE-3 (induced by source paper "primitivity uniform minimality and state complexity of boolean operations"):
  with members:
    - "unrestricted state complexity of binary operations on regular languages"
    - "unrestricted state complexity of binary operations on regular and ideal languages"
    - "most complex regular ideal languages"
    - "symmetric groups and quotient complexity of boolean operations"
    - "quotient complexity of star free languages"
    - "quotient complexity of ideal languages"
    - "quotient complexity of regular languages"

Connected through hyperedge HE-4 (induced by source paper "new tools for state complexity"):
  with members:
    - "state complexity of catenation combined with boolean operations"
    - "state complexity of catenation combined with a boolean operation a unified approach"

Connected through hyperedge HE-5 (induced by source paper "state complexity of pattern matching in regular languages"):
  with members:
    - "quotient complexity of ideal languages"

Connected through hyperedge HE-6 (induced by source paper "complexity of proper suffix convex regular languages"):
  with members:
    - "theory of atomata"

Connected through hyperedge HE-7 (induced by source paper "state complexity of overlap assembly"):
  with members:
    - "towards a theory of complexity of regular languages"

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.FL(Formal Languages and Automata Theory)