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: "parameterized complexity of the anchored k core problem for directed graphs"
  Abstract: Bhawalkar, Kleinberg, Lewi, Roughgarden, and Sharma [ICALP 2012] introduced the Anchored k-Core problem, where the task is for a given graph G and integers b, k, and p to find an induced subgraph H with at least p vertices (the core) such that all but at most b vertices (called anchors) of H are of degree at least k. In this paper, we extend the notion of k-core to directed graphs and provide a number of new algorithmic and complexity results for the directed version of the problem. We show that #R##N#- The decision version of the problem is NP-complete for every k>=1 even if the input graph is restricted to be a planar directed acyclic graph of maximum degree at most k+2. #R##N#- The problem is fixed parameter tractable (FPT) parameterized by the size of the core p for k=1, and W[1]-hard for k>=2. #R##N#- When the maximum degree of the graph is at most \Delta, the problem is FPT parameterized by p+\Delta if k>= \Delta/2.

Connected through hyperedge HE-1 (induced by source paper "building large k cores from sparse graphs"):
  with members:
    - "a survey of parameterized algorithms and the complexity of edge modification"
    - "finding even subgraphs even faster"
    - "editing to a connected graph of given degrees"
    - "preventing unraveling in social networks gets harder"
    - "editing to a graph of given degrees"
    - "understanding edge connectivity in the internet through core decomposition"
    - "k core decomposition of internet graphs hierarchies self similarity and measurement biases"

Connected through hyperedge HE-2 (induced by source paper "a parameterized complexity view on collapsing k cores"):
  with members:
    - "linear time kernelization for feedback vertex set"
    - "social resilience in online communities the autopsy of friendster"
    - "preventing unraveling in social networks gets harder"
    - "faster deterministic feedback vertex set"

Connected through hyperedge HE-3 (induced by source paper "when engagement meets similarity efficient k r core computation on social networks"):
  with members:
    - "i o efficient core graph decomposition at web scale"
    - "towards realistic team formation in social networks based on densest subgraphs"
    - "keep your friends close and your facebook friends closer a multiplex network approach to the analysis of offline and online social ties"
    - "locally estimating core numbers"
    - "geo social group queries with minimum acquaintance constraint"
    - "preventing unraveling in social networks gets harder"
    - "community detection in networks with node attributes"
    - "mining attribute structure correlated patterns in large attributed graphs"

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)