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 fast algorithm for permutation pattern matching based on alternating runs"
  Abstract: The NP-complete Permutation Pattern Matching problem asks whether a $k$-permutation $P$ is contained in a $n$-permutation $T$ as a pattern. This is the case if there exists an order-preserving embedding of $P$ into $T$. In this paper, we present a fixed-parameter algorithm solving this problem with a worst-case runtime of $\mathcal{O}(1.79^{\mathsf{run}(T)}\cdot n\cdot k)$, where $\mathsf{run}(T)$ denotes the number of alternating runs of $T$. This algorithm is particularly well-suited for instances where $T$ has few runs, i.e., few ups and downs. Moreover, since $\mathsf{run}(T)<n$, this can be seen as a $\mathcal{O}(1.79^{n}\cdot n\cdot k)$ algorithm which is the first to beat the exponential $2^n$ runtime of brute-force search. Furthermore, we prove that under standard complexity theoretic assumptions such a fixed-parameter tractability result is not possible for $\mathsf{run}(P)$.

Connected through hyperedge HE-1 (induced by source paper "counting small permutation patterns"):
  with members:
    - "faster and simpler algorithms for finding large patterns in permutations"
    - "finding and counting permutations via csps"
    - "improved bounds for testing forbidden order patterns"
    - "finding small patterns in permutations in linear time"
    - "the computational landscape of permutation patterns"
    - "hereditary properties of permutations are strongly testable"
    - "orthogonal range searching on the ram revisited"

Connected through hyperedge HE-2 (induced by source paper "finding and counting permutations via csps"):
  with members:
    - "improved bounds for testing forbidden order patterns"
    - "pattern avoiding access in binary search trees"
    - "hitting set for hypergraphs of low vc dimension"
    - "finding small patterns in permutations in linear time"
    - "the computational landscape of permutation patterns"

Connected through hyperedge HE-3 (induced by source paper "faster and simpler algorithms for finding large patterns in permutations"):
  with members:
    - "improved bounds for testing forbidden order patterns"
    - "pattern avoiding access in binary search trees"
    - "finding small patterns in permutations in linear time"
    - "the computational landscape of permutation patterns"

Connected through hyperedge HE-4 (induced by source paper "fast algorithms for finding pattern avoiders and counting pattern occurrences in permutations"):
  with members:
    - "finding small patterns in permutations in linear time"
    - "the computational landscape of permutation patterns"
    - "order preserving matching"

Connected through hyperedge HE-5 (induced by source paper "kernelization lower bound for permutation pattern matching"):
  with members:
    - "finding small patterns in permutations in linear time"
    - "the computational landscape of permutation patterns"
    - "cross composition a new technique for kernelization lower bounds"

Connected through hyperedge HE-6 (induced by source paper "the computational landscape of permutation patterns"):
  with members:
    - "finding small patterns in permutations in linear time"
    - "model checking problems as a basis for parameterized intractability"

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.DS(Data Structures and Algorithms)