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 "parameterized complexity of diameter"):
  Abstract: Diameter--the task of computing the length of a longest shortest path---is a fundamental graph problem. Assuming the Strong Exponential Time Hypothesis, there is no $O(n^{1.99})$-time algorithm even in sparse graphs [Roditty and Williams, 2013]. To circumvent this lower bound we aim for algorithms with running time $f(k)(n+m)$ where $k$ is a parameter and $f$ is a function as small as possible. For our choices of $k$ we systematically explore a hierarchy of structural graph parameters.

Includes members:
  Member "towards improving brandes algorithm for betweenness centrality":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "on the structure of unique shortest paths in graphs")
  Member "towards tight approximation bounds for graph diameter and eccentricities":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "graph spanners a tutorial review")
  Member "data reduction for maximum matching on real world graphs theory and experiments":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "parameterized aspects of triangle enumeration")
  Member "multivariate analysis of orthogonal range searching and graph distances parameterized by treewidth":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "diameter computation on h minor free graphs and graphs of bounded distance vc dimension")
  Member "efficient and adaptive parameterized algorithms on modular decompositions":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "efficient parameterized algorithms for computing all pairs shortest paths")
  Member "parameterized aspects of triangle enumeration":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "on adaptive algorithms for maximum matching")
  Member "fully polynomial fpt algorithms for some classes of bounded clique width graphs":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "iterated type partitions")
  Member "voronoi diagrams on planar graphs and computing the diameter in deterministic tilde o n 5 3 time":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "planar diameter via metric compression")

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)