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: "almost shortest paths and pram distance oracles in weighted graphs"
  Abstract: Let $G=(V,E)$ be a weighted undirected graph with $n$ vertices and $m$ edges, and fix a set of $s$ sources $S\subseteq V$. For any pair $u,v\in V$, let $W(u,v)$ denote the weight of the heaviest edge on the $u$ to $v$ shortest path. For any constant $0 0$, we preprocess a given weighted graph in poly-logarithmic time and near linear work, and store a data structure of size $O(n^{1+\delta})$. Given any query $u\in V$, we return a $(1+\epsilon,\beta(\cdot,\cdot))$-approximation to all distances $u\times V$ in $O_\delta(1)$ time, where $\beta(u,v)=O_\delta(W(u,v))$. Moreover, the dependence of both $\beta$ and the query time on $\delta$ can be made $\text{poly}(1/\delta)$, by increasing the multiplicative stretch (to some constant larger than 9). Our algorithms are based on new constructions of spanners, emulators and hopsets for weighted graphs. We devise a $(1+\epsilon,\beta(\cdot,\cdot))$-spanner for weighted graphs of size $O(n^{1+1/t}+\log t\cdot n)$ and $\beta(u,v)=W(u,v)\cdot \left(\frac{\log t}{\epsilon}\right)^{O(\log t)}$. We can have an improved $\beta=W(u,v)\cdot t^{O(1)}$ at the cost of increasing the multiplicative stretch to a constant larger than 3. In addition, we devise a $(c,t^{O(1)})$-hopset of size $O(n^{1+1/t}+\log t\cdot n)$ for any constant $c>3$.

Connected through hyperedge HE-1 (induced by source paper "weighted additive spanners"):
  with members:
    - "some general structure for extremal sparsification problems"
    - "lower bounds on sparse spanners emulators and diameter reducing shortcuts"
    - "a hierarchy of lower bounds for sublinear additive spanners"
    - "linear size distance preservers"
    - "better distance preservers and additive spanners"
    - "the 4 3 additive spanner exponent is tight"
    - "additive spanners a simple construction"
    - "on pairwise spanners"

Connected through hyperedge HE-2 (induced by source paper "shortest path centrality and the all pairs shortest paths problem via vc dimension theory"):
  with members:
    - "estimating the percolation centrality of large networks through pseudo dimension theory"
    - "approximating apsp without scaling equivalence of approximate min plus and exact min max"
    - "abra approximating betweenness centrality in static and dynamic graphs with rademacher averages"
    - "on the shoshan zwick algorithm for the all pairs shortest path problem"
    - "popular conjectures imply strong lower bounds for dynamic problems"
    - "faster all pairs shortest paths via circuit complexity"
    - "shape fitting on point sets with probability distributions"

Connected through hyperedge HE-3 (induced by source paper "graph spanners a tutorial review"):
  with members:
    - "near additive spanners and near exact hopsets a unified view"
    - "some general structure for extremal sparsification problems"
    - "weighted additive spanners"
    - "near additive spanners in low polynomial deterministic congest time"
    - "multi level graph sketches via single level solvers"
    - "an fpt algorithm for minimum additive spanner problem"
    - "distributed construction of light networks"
    - "lasserre integrality gaps for graph spanners and related problems"

Connected through hyperedge HE-4 (induced by source paper "new alpha beta spanners and hopsets"):
  with members:
    - "linear size hopsets with small hopbound and distributed routing with low memory"
    - "thorup zwick emulators are universally optimal hopsets"
    - "distributed exact shortest paths in sublinear time"
    - "efficient algorithms for constructing very sparse spanners and emulators"
    - "a hierarchy of lower bounds for sublinear additive spanners"
    - "hopsets with constant hopbound and applications to approximate shortest paths"
    - "on efficient distributed construction of near optimal routing schemes"
    - "parallel metric tree embedding based on an algebraic view on moore bellman ford"

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)