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: "minimizing the continuous diameter when augmenting paths and cycles with shortcuts"
  Abstract: We seek to augment a geometric network in the Euclidean plane with shortcuts to minimize its continuous diameter, i.e., the largest network distance between any two points on the augmented network. Unlike in the discrete setting where a shortcut connects two vertices and the diameter is measured between vertices, we take all points along the edges of the network into account when placing a shortcut and when measuring distances in the augmented network. #R##N#We study this network augmentation problem for paths and cycles. For paths, we determine an optimal shortcut in linear time. For cycles, we show that a single shortcut never decreases the continuous diameter and that two shortcuts always suffice to reduce the continuous diameter. Furthermore, we characterize optimal pairs of shortcuts for convex and non-convex cycles. Finally, we develop a linear time algorithm that produces an optimal pair of shortcuts for convex cycles. Apart from the algorithms, our results extend to rectifiable curves. #R##N#Our work reveals some of the underlying challenges that must be overcome when addressing the discrete version of this network augmentation problem, where we minimize the discrete diameter of a network with shortcuts that connect only vertices.

Connected through hyperedge HE-1 (induced by source paper "a linear time algorithm for radius optimally augmenting paths in a metric space"):
  with members:
    - "almost optimal algorithms for diameter optimally augmenting trees"
    - "an improved algorithm for diameter optimally augmenting paths in a metric space"
    - "fast algorithms for diameter optimally augmenting paths and trees"
    - "minimizing the continuous diameter when augmenting a tree with a shortcut"
    - "augmenting graphs to minimize the diameter"

Connected through hyperedge HE-2 (induced by source paper "computing optimal shortcuts for networks"):
  with members:
    - "minimizing the continuous diameter when augmenting a tree with a shortcut"
    - "augmenting graphs to minimize the diameter"

Connected through hyperedge HE-3 (induced by source paper "two sided facility location"):
  with members:
    - "approximating gains from trade in two sided markets via simple mechanisms"
    - "stability of service under time of use pricing"
    - "online matching haste makes waste"
    - "dynamic matching market design"

Connected through hyperedge HE-4 (induced by source paper "minimizing the continuous diameter when augmenting a geometric tree with a shortcut"):
  with members:
    - "an improved algorithm for diameter optimally augmenting paths in a metric space"
    - "fast algorithms for diameter optimally augmenting paths and trees"
    - "augmenting graphs to minimize the diameter"

Connected through hyperedge HE-5 (induced by source paper "an improved algorithm for diameter optimally augmenting paths in a metric space"):
  with members:
    - "minimizing the continuous diameter when augmenting a tree with a shortcut"
    - "augmenting graphs to minimize the diameter"

Connected through hyperedge HE-6 (induced by source paper "minimizing the continuous diameter when augmenting a tree with a shortcut"):
  with members:
    - "fast algorithms for diameter optimally augmenting paths and trees"
    - "augmenting graphs to minimize the diameter"

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.CG(Computational Geometry)