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: "subexponential parameterized algorithm for computing the cutwidth of a semi complete digraph"
  Abstract: Cutwidth of a digraph is a width measure introduced by Chudnovsky, Fradkin, and Seymour [4] in connection with development of a structural theory for tournaments, or more generally, for semi-complete digraphs. In this paper we provide an algorithm with running time 2^{O(\sqrt{k log k})} * n^{O(1)} that tests whether the cutwidth of a given n-vertex semi-complete digraph is at most k, improving upon the currently fastest algorithm of the second author [18] that works in 2^{O(k)} * n^2 time. As a byproduct, we obtain a new algorithm for Feedback Arc Set in tournaments (FAST) with running time 2^{c\sqrt{k}} * n^{O(1)}, where c = 2\pi / \sqrt(3)*\ln(2) <= 5.24, that is simpler than the algorithms of Feige [9] and of Karpinski and Schudy[16], both also working in 2^{O(\sqrt{k})} * n^{O(1)} time. Our techniques can be applied also to other layout problems on semi-complete digraphs. We show that the Optimal Linear Arrangement problem, a close relative of Feedback Arc Set, can be solved in 2^{O(k^{1/3} \sqrt{\log k})} * n^{O(1)} time, where k is the target cost of the ordering.

Connected through hyperedge HE-1 (induced by source paper "parameterizing edge modification problems above lower bounds"):
  with members:
    - "parameterized lower bounds and dichotomy results for the np completeness of h free edge modification problems"
    - "raising the bar for vertex cover fixed parameter tractability above a higher guarantee"
    - "towards optimal and expressive kernelization for d hitting set"
    - "faster parameterized algorithms using linear programming"
    - "subexponential fixed parameter tractability of cluster editing"
    - "on multiway cut parameterized above lower bounds"
    - "on the non existence of polynomial kernels for p l free edge modification problems"
    - "faster algorithms for feedback arc set tournament kemeny rank aggregation and betweenness tournament"

Connected through hyperedge HE-2 (induced by source paper "comparing linear width parameters for directed graphs"):
  with members:
    - "on the pathwidth of almost semicomplete digraphs"
    - "the rank width of edge coloured graphs"
    - "jungles bundles and fixed parameter tractability"
    - "matroid pathwidth and code trellis complexity"

Connected through hyperedge HE-3 (induced by source paper "exploring the complexity of layout parameters in tournaments and semi complete digraphs"):
  with members:
    - "a polynomial turing kernel for weighted independent set in bull free graphs"
    - "cutwidth obstructions and algorithmic aspects"
    - "lower bounds for the parameterized complexity of minimum fill in and other completion problems"
    - "a polynomial kernel for proper interval vertex deletion"
    - "computing cutwidth and pathwidth of semi complete digraphs via degree orderings"
    - "faster fast feedback arc set in tournaments"

Connected through hyperedge HE-4 (induced by source paper "beyond bidimensionality parameterized subexponential algorithms on directed graphs"):
  with members:
    - "efficient computation of representative sets with applications in parameterized and exact algorithms"
    - "solving connectivity problems parameterized by treewidth in single exponential time"
    - "faster algorithms for feedback arc set tournament kemeny rank aggregation and betweenness tournament"
    - "on finding directed trees with many leaves"
    - "faster fast feedback arc set in tournaments"
    - "algorithm for finding k vertex out trees and its application to k internal out branching problem"
    - "a linear vertex kernel for maximum internal spanning tree"
    - "kernel s for problems with no kernel on out trees with many leaves"

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)