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: "finding 2 edge and 2 vertex strongly connected components in quadratic time"
  Abstract: We present faster algorithms for computing the 2-edge and 2-vertex strongly connected components of a directed graph. While in undirected graphs the 2-edge and 2-vertex connected components can be found in linear time, in directed graphs with m edges and n vertices only rather simple O(m n)-time algorithms were known. We use a hierarchical sparsification technique to obtain algorithms that run in time \(O(n^2)\). For 2-edge strongly connected components our algorithm gives the first running time improvement in 20 years. Additionally we present an \(O(m^2 /\log n)\)-time algorithm for 2-edge strongly connected components, and thus improve over the O(m n) running time also when \(m = O(n)\). Our approach extends to k-edge and k-vertex strongly connected components for any constant k with a running time of \(O(n^2 \log n)\) for k-edge-connectivity and \(O(n^3)\) for k-vertex-connectivity.

Connected through hyperedge HE-1 (induced by source paper "computing and testing small connectivity in near linear time and queries via fast local cut algorithms"):
  with members:
    - "a faster local algorithm for detecting bounded size cuts with applications to higher connectivity problems"
    - "computing and testing small vertex connectivity in near linear time and queries"
    - "breaking quadratic time for small vertex connectivity and an approximation scheme"
    - "a new algorithm for decremental single source shortest paths with applications to vertex capacitated flow and cut problems"
    - "expander decomposition and pruning faster stronger and simpler"
    - "faster algorithms for computing maximal 2 connected subgraphs in sparse directed graphs"
    - "on sampling edges almost uniformly"
    - "local flow partitioning for faster edge connectivity"

Connected through hyperedge HE-2 (induced by source paper "twinless articulation points and some related problems"):
  with members:
    - "2 edge connectivity in directed graphs"
    - "computing the 2 blocks of directed graphs"
    - "on computing the 2 vertex connected components of directed graphs"
    - "a simple test on 2 vertex and 2 edge connectivity"
    - "approximating the minimum equivalent digraph"

Connected through hyperedge HE-3 (induced by source paper "2 edge twinless blocks"):
  with members:
    - "twinless articulation points and some related problems"
    - "computing 2 twinless blocks"
    - "2 edge connectivity in directed graphs"
    - "computing the 2 blocks of directed graphs"
    - "on computing the 2 vertex connected components of directed graphs"

Connected through hyperedge HE-4 (induced by source paper "computing 2 twinless blocks"):
  with members:
    - "twinless articulation points and some related problems"
    - "2 edge connectivity in directed graphs"
    - "computing the 2 blocks of directed graphs"
    - "on computing the 2 vertex connected components of directed graphs"
    - "a simple test on 2 vertex and 2 edge connectivity"

Connected through hyperedge HE-5 (induced by source paper "decremental single source reachability in planar digraphs"):
  with members:
    - "faster algorithms for computing maximal 2 connected subgraphs in sparse directed graphs"
    - "improved bounds for shortest paths in dense distance graphs"
    - "fully dynamic maximal matching in constant update time"
    - "popular conjectures as a barrier for dynamic planar graph algorithms"
    - "improved algorithms for decremental single source reachability on directed graphs"
    - "sublinear time decremental algorithms for single source reachability and shortest paths on directed graphs"
    - "popular conjectures imply strong lower bounds for dynamic problems"
    - "optimal decremental connectivity in planar graphs"

Connected through hyperedge HE-6 (induced by source paper "faster algorithms for computing maximal 2 connected subgraphs in sparse directed graphs"):
  with members:
    - "deterministic global minimum cut of a simple graph in near linear time"
    - "2 edge connectivity in directed graphs"
    - "on computing the 2 vertex connected components of directed graphs"
    - "minimum cuts in near linear time"

Connected through hyperedge HE-7 (induced by source paper "on low high orders of directed graphs incremental algorithms and applications"):
  with members:
    - "incremental 2 edge connectivity in directed graphs"
    - "an experimental study of dynamic dominators"
    - "popular conjectures imply strong lower bounds for dynamic problems"
    - "2 edge connectivity in directed graphs"
    - "computing the 2 blocks of directed graphs"
    - "on computing the 2 vertex connected components of directed graphs"
    - "finding dominators via disjoint set union"
    - "a new approach to incremental cycle detection and related problems"

Connected through hyperedge HE-8 (induced by source paper "incremental 2 edge connectivity in directed graphs"):
  with members:
    - "an experimental study of dynamic dominators"
    - "popular conjectures imply strong lower bounds for dynamic problems"
    - "2 edge connectivity in directed graphs"
    - "computing the 2 blocks of directed graphs"
    - "on computing the 2 vertex connected components of directed graphs"
    - "finding dominators via disjoint set union"
    - "a new approach to incremental cycle detection and related problems"
    - "incremental cycle detection topological ordering and strong component maintenance"

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)