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: "core congestion is inherent in hyperbolic networks"
  Abstract: We investigate the impact the negative curvature has on the traffic congestion in large-scale networks. We prove that every Gromov hyperbolic network $G$ admits a core, thus answering in the positive a conjecture by Jonckheere, Lou, Bonahon, and Baryshnikov, Internet Mathematics, 7 (2011) which is based on the experimental observation by Narayan and Saniee, Physical Review E, 84 (2011) that real-world networks with small hyperbolicity have a core congestion. Namely, we prove that for every subset $X$ of vertices of a $\delta$-hyperbolic graph $G$ there exists a vertex $m$ of $G$ such that the disk $D(m,4 \delta)$ of radius $4 \delta$ centered at $m$ intercepts at least one half of the total flow between all pairs of vertices of $X$, where the flow between two vertices $x,y\in X$ is carried by geodesic (or quasi-geodesic) $(x,y)$-paths. A set $S$ intercepts the flow between two nodes $x$ and $y$ if $S$ intersect every shortest path between $x$ and $y$. Differently from what was conjectured by Jonckheere et al., we show that $m$ is not (and cannot be) the center of mass of $X$ but is a node close to the median of $X$ in the so-called injective hull of $X$. In case of non-uniform traffic between nodes of $X$ (in this case, the unit flow exists only between certain pairs of nodes of $X$ defined by a commodity graph $R$), we prove a primal-dual result showing that for any $\rho>5\delta$ the size of a $\rho$-multi-core (i.e., the number of disks of radius $\rho$) intercepting all pairs of $R$ is upper bounded by the maximum number of pairwise $(\rho-3\delta)$-apart pairs of $R$.

Connected through hyperedge HE-1 (induced by source paper "eccentricity terrain of delta hyperbolic graphs"):
  with members:
    - "fast approximation and exact computation of negative curvature parameters of graphs"
    - "revisiting radius diameter and all eccentricity computation in graphs through certificates"
    - "metric tree like structures in real life networks an empirical study"
    - "computing the gromov hyperbolicity of a discrete metric space"

Connected through hyperedge HE-2 (induced by source paper "fast approximation and exact computation of negative curvature parameters of graphs"):
  with members:
    - "effect of gromov hyperbolicity parameter on cuts and expansions in graphs and some algorithmic implications"
    - "fully polynomial fpt algorithms for some classes of bounded clique width graphs"
    - "when can graph hyperbolicity be computed in linear time"
    - "an improved combinatorial algorithm for boolean matrix multiplication"
    - "into the square on the complexity of quadratic time solvable problems"
    - "computing the gromov hyperbolicity of a discrete metric space"

Connected through hyperedge HE-3 (induced by source paper "obstructions to a small hyperbolicity in helly graphs"):
  with members:
    - "fast approximation algorithms for p centres in large delta hyperbolic graphs"
    - "node expansions and cuts in gromov hyperbolic graphs"
    - "polynomial bounds for the grid minor theorem"
    - "on the hyperbolicity of small world and tree like random graphs"
    - "euclidean versus hyperbolic congestion in idealized versus experimental networks"

Connected through hyperedge HE-4 (induced by source paper "fast approximation of centrality and distances in hyperbolic graphs"):
  with members:
    - "fast approximation and exact computation of negative curvature parameters of graphs"
    - "fast approximation algorithms for p centres in large delta hyperbolic graphs"
    - "into the square on the complexity of quadratic time solvable problems"

Connected through hyperedge HE-5 (induced by source paper "slimness of graphs"):
  with members:
    - "fast approximation and exact computation of negative curvature parameters of graphs"
    - "tree decompositions and social graphs"
    - "euclidean versus hyperbolic congestion in idealized versus experimental networks"

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)