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: "distributed algorithms for directed betweenness centrality and all pairs shortest paths"
  Abstract: The betweenness centrality (BC) of a node in a network (or graph) is a measure of its importance in the network. BC is widely used in a large number of environments such as social networks, transport networks, security/mobile networks and more. We present an O(n)-round distributed algorithm for computing BC of every vertex as well as all pairs shortest paths (APSP) in a directed unweighted network, where n is the number of vertices and m is the number of edges. We also present O(n)-round distributed algorithms for computing APSP and BC in a weighted directed acyclic graph (dag). Our algorithms are in the Congest model and our weighted dag algorithms appear to be the first nontrivial distributed algorithms for both APSP and BC. All our algorithms pay careful attention to the constant factors in the number of rounds and number of messages sent, and for unweighted graphs they improve on one or both of these measures by at least a constant factor over previous results for both directed and undirected APSP and BC.

Connected through hyperedge HE-1 (induced by source paper "simple and fast distributed computation of betweenness centrality"):
  with members:
    - "distributed estimation and control of node centrality in undirected asymmetric networks"
    - "distributed exact weighted all pairs shortest paths in near linear time"
    - "distributed algorithms for computation of centrality measures in complex networks"
    - "quadratic and near quadratic lower bounds for the congest model"
    - "abra approximating betweenness centrality in static and dynamic graphs with rademacher averages"
    - "fully dynamic approximation of betweenness centrality"
    - "scalable online betweenness centrality in evolving graphs"
    - "approximating betweenness centrality in large evolving networks"

Connected through hyperedge HE-2 (induced by source paper "a deterministic distributed algorithm for exact weighted all pairs shortest paths in tilde o n 3 2 rounds"):
  with members:
    - "a faster deterministic distributed algorithm for weighted apsp through pipelining"
    - "distributed exact shortest paths in sublinear time"
    - "improved distributed algorithms for exact shortest paths"
    - "hopsets with constant hopbound and applications to approximate shortest paths"
    - "a deterministic almost tight distributed algorithm for approximating single source shortest paths"
    - "fast partial distance estimation and applications"
    - "distributed approximation algorithms for weighted shortest paths"

Connected through hyperedge HE-3 (induced by source paper "a deterministic distributed algorithm for weighted all pairs shortest paths through pipelining"):
  with members:
    - "improved distributed algorithms for exact shortest paths"

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)