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: "fast constructions of light weight spanners for general graphs"
  Abstract: To our knowledge, there are only two known algorithms for constructing sparse and light spanners for general graphs. One of them is the greedy algorithm of Alth$\ddot{o}$fer et al. \cite{ADDJS93}, analyzed by Chandra et al. in SoCG'92. The greedy algorithm consructs, for every \emph{weighted} undirected $n$-vertex $m$-edge graph $G = (V,E)$ and any integer $k \ge 1$, a $(2k-1)$-spanner with $O(n^{1 + 1/k})$ edges and weight $O(k \cdot n^{(1+\eps)/k}) \cdot \omega(MST(G))$, for any $\eps > 0$. The drawback of the greedy algorithm is that it requires $O(m \cdot (n^{1 + 1/k} + n \cdot \log n))$ time. The other algorithm is due to Awerbuch et al. \cite{ABP91}. It constructs $O(k)$-spanners with $O(k \cdot n^{1 + 1/k} \cdot \Lambda)$ edges, weight $O(k^2 \cdot n^{1/k} \cdot \Lambda) \cdot \omega(MST(G))$, within time $O(m \cdot k \cdot n^{1/k} \cdot \Lambda)$, where $\Lambda$ is the logarithm of the aspect ratio of the graph. The running time of both these algorithms is unsatisfactory. Moreover, the usually faster algorithm of \cite{ABP91} pays for the speedup by significantly increasing both the stretch, the sparsity, and the weight of the resulting spanner. #R##N#In this paper we devise an efficient algorithm for constructing sparse and light spanners. Specifically, our algorithm constructs $((2k-1) \cdot (1+\eps))$-spanners with $O(k \cdot n^{1 + 1/k})$ edges and weight $O(k \cdot n^{1/k}) \cdot \omega(MST(G))$, where $\eps > 0$ is an arbitrarily small constant. The running time of our algorithm is $O(k \cdot m + \min\{n \cdot \log n,m \cdot \alpha(n)\})$. Moreover, by slightly increasing the running time we can reduce the other parameters. These results address an open problem from the ESA'04 paper by Roditty and Zwick \cite{RZ04}.

Connected through hyperedge HE-1 (induced by source paper "distributed construction of light networks"):
  with members:
    - "light spanners for high dimensional norms via stochastic decompositions"
    - "greedy spanners are optimal in doubling metrics"
    - "distributed exact shortest paths in sublinear time"
    - "improved distributed algorithms for exact shortest paths"
    - "a simple deterministic distributed mst algorithm with near optimal time and message complexities"
    - "constructing light spanners deterministically in near linear time"
    - "minor free graphs have light spanners"
    - "the greedy spanner is existentially optimal"

Connected through hyperedge HE-2 (induced by source paper "efficient algorithms for constructing very sparse spanners and emulators"):
  with members:
    - "the greedy spanner is existentially optimal"
    - "a hierarchy of lower bounds for sublinear additive spanners"
    - "hopsets with constant hopbound and applications to approximate shortest paths"
    - "distributed strong diameter network decomposition"
    - "a linear size logarithmic stretch path reporting distance oracle for general graphs"
    - "very sparse additive spanners and emulators"
    - "the 4 3 additive spanner exponent is tight"
    - "an entropy based proof for the moore bound for irregular graphs"

Connected through hyperedge HE-3 (induced by source paper "the greedy spanner is existentially optimal"):
  with members:
    - "on notions of distortion and an almost minimum spanning tree with constant average distortion"
    - "a light metric spanner"
    - "from hierarchical partitions to hierarchical covers optimal fault tolerant spanners for doubling metrics"
    - "light spanners in bounded pathwidth graphs"
    - "fast construction of nets in low dimensional metrics and their applications"

Connected through hyperedge HE-4 (induced by source paper "optimal euclidean spanners really short thin and lanky"):
  with members:
    - "the traveling salesman problem low dimensionality implies a polynomial time approximation scheme"
    - "from hierarchical partitions to hierarchical covers optimal fault tolerant spanners for doubling metrics"
    - "fault tolerant spanners for doubling metrics better and simpler"
    - "incubators vs zombies fault tolerant short thin and lanky spanners for doubling metrics"
    - "balancing degree diameter and weight in euclidean spanners"
    - "efficient regression in metric spaces via approximate lipschitz extension"
    - "an optimal time construction of euclidean sparse spanners with tiny diameter"
    - "shallow low and light trees and tight lower bounds for euclidean spanners"

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)