human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "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.

Includes members:
  Member "improved algorithms for one pair and k pair streett objectives":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "near linear time algorithms for streett objectives in graphs and mdps")
  Member "2 edge connectivity in directed graphs":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "twinless articulation points and some related problems")
  Member "on computing the 2 vertex connected components of directed graphs":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "twinless articulation points and some related problems")

Question: Please tell me which class the source paper 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)