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: "deleting edges to restrict the size of an epidemic a new application for treewidth"
  Abstract: Motivated by applications in network epidemiology, we consider the problem of determining whether it is possible to delete at most k edges from a given input graph of small treewidth so that the maximum component size in the resulting graph is at most h. While this problem is NP-complete in general, we provide evidence that many of the real-world networks of interest are likely to have small treewidth, and we describe an algorithm which solves the problem in time $$Owh^{2w}n$$Owh2wn on an input graph having n vertices and whose treewidth is bounded by a fixed constant w.

Connected through hyperedge HE-1 (induced by source paper "two dichotomies for model checking in multi layer structures"):
  with members:
    - "multi budgeted directed cuts"
    - "first order query evaluation with cardinality conditions"
    - "the parameterised complexity of counting connected subgraphs and graph motifs"

Connected through hyperedge HE-2 (induced by source paper "what is known about vertex cover kernelization"):
  with members:
    - "smaller parameters for vertex cover kernelization"
    - "vertex cover structural parameterization revisited"
    - "matchings with lower quotas algorithms and complexity"
    - "efficient classification for metric data"
    - "kernelization lower bounds by cross composition"
    - "representative sets and irrelevant vertices new tools for kernelization"
    - "vertex cover kernelization revisited upper and lower bounds for a refined parameter"

Connected through hyperedge HE-3 (induced by source paper "deleting edges to restrict the size of an epidemic in temporal networks"):
  with members:
    - "temporal graph classes a view through temporal separators"
    - "computing maximal cliques in link streams"
    - "temporal network optimization subject to connectivity constraints"
    - "on temporal graph exploration"
    - "dmvp foremost waypoint coverage of time varying graphs"
    - "time varying graphs and dynamic networks"
    - "exploration of periodically varying graphs"

Connected through hyperedge HE-4 (induced by source paper "changing times to minimise reachability in temporal graphs"):
  with members:
    - "deleting edges to restrict the size of an epidemic in temporal networks"
    - "the computational complexity of finding separators in temporal graphs"
    - "adapting the bron kerbosch algorithm for enumerating maximal cliques in temporal graphs"
    - "survivability in time varying networks"
    - "an introduction to temporal graphs an algorithmic perspective"
    - "temporal network optimization subject to connectivity constraints"

Connected through hyperedge HE-5 (induced by source paper "linear kernels for separating a graph into components of bounded size"):
  with members:
    - "on a generalization of nemhauser and trotter s local optimization theorem"
    - "on the computational complexity of vertex integrity and component order connectivity"
    - "minimum bisection is fixed parameter tractable"
    - "minimum k way cut of bounded size is fixed parameter tractable"
    - "finding small separators in linear time via treewidth reduction"
    - "hitting forbidden minors approximation and kernelization"
    - "multicut is fpt"
    - "fixed parameter tractability of multicut parameterized by the size of the cutset"

Connected through hyperedge HE-6 (induced by source paper "generalized feedback vertex set problems on bounded treewidth graphs chordality is the key to single exponential parameterized algorithms"):
  with members:
    - "slightly superexponential parameterized problems"
    - "optimal algorithms for hitting topological minors on graphs of bounded treewidth"
    - "parameterized vertex deletion problems for hereditary graph classes with a block property"
    - "on the computational complexity of vertex integrity and component order connectivity"
    - "solving connectivity problems parameterized by treewidth in single exponential time"
    - "known algorithms on graphs of bounded treewidth are probably optimal"

Connected through hyperedge HE-7 (induced by source paper "parameterized complexity of critical node cuts"):
  with members:
    - "an o 1 84 k parameterized algorithm for the multiterminal cut problem"
    - "parameterized complexity dichotomy for steiner multicut"
    - "on the computational complexity of vertex integrity and component order connectivity"
    - "kernelization lower bounds by cross composition"
    - "fixed parameter tractability of multicut in directed acyclic graphs"
    - "finding small separators in linear time via treewidth reduction"
    - "on multiway cut parameterized above lower bounds"
    - "multicut is fpt"

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)