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: "faster worst case update time for dynamic subgraph connectivity"
  Abstract: The dynamic subgraph connectivity problem asks how to maintain an understanding of connectivity under vertex updates. An update may switch "on" or "off" a vertex, and might insert a new edge or delete an existing edge. Queries test the connectivity in the subgraph induced by active ones. Former results on this problem are data structures supporting vertex update in $\widetilde{O}(m^{2/3})$ amortized time, and for worst case the latest result are $\widetilde{O}(m^{4/5})$ and $\widetilde{O}(\sqrt{mn})$. In this paper, we give a structure of linear space, with worst-case update time $\widetilde{O}(m^{3/4})$. The data structure is randomized, as a Monte Carlo dynamic graph algorithm is used as a subroutine.

Connected through hyperedge HE-1 (induced by source paper "faster randomized worst case update time for dynamic subgraph connectivity"):
  with members:
    - "improved algorithms for maintaining dfs tree in undirected graphs"
    - "fully dynamic connectivity in o log n log log n 2 amortized expected time"
    - "dynamic dfs in undirected graphs breaking the o m barrier"
    - "fully dynamic minimum spanning forest with improved worst case update time"
    - "unifying and strengthening hardness for dynamic problems via the online matrix vector multiplication conjecture"
    - "dynamic graph connectivity with improved worst case update time and sublinear space"
    - "an improved randomized data structure for dynamic graph connectivity"
    - "faster worst case deterministic dynamic connectivity"

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)