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: "the cover time of deterministic random walks"
  Abstract: The rotor router model is a popular deterministic analogue of a random walk on a graph. Instead of moving to a random neighbor, the neighbors are served in a fixed order. We examine how fast this "deterministic random walk" covers all vertices (or all edges). We present general techniques to derive upper bounds for the vertex and edge cover time and derive matching lower bounds for several important graph classes. Depending on the topology, the deterministic random walk can be asymptotically faster, slower or equally fast as the classic random walk. We also examine the short term behavior of deterministic random walks, that is, the time to visit a fixed small number of vertices or edges.

Connected through hyperedge HE-1 (induced by source paper "the cover time of deterministic random walks for general transition probabilities"):
  with members:
    - "total variation discrepancy of deterministic random walks for ergodic markov chains"
    - "lock in problem for parallel rotor router walks"
    - "improved analysis of deterministic load balancing schemes"
    - "deterministic random walks for rapidly mixing chains"
    - "quasirandom load balancing"

Connected through hyperedge HE-2 (induced by source paper "lock in problem for parallel rotor router walks"):
  with members:
    - "improved analysis of deterministic load balancing schemes"
    - "tight bounds for randomized load balancing on arbitrary network topologies"

Connected through hyperedge HE-3 (induced by source paper "improved analysis of deterministic load balancing schemes"):
  with members:
    - "deterministic random walks for rapidly mixing chains"
    - "quasirandom load balancing"
    - "tight bounds for randomized load balancing on arbitrary network topologies"
    - "distributed selfish load balancing with weights and speeds"

Connected through hyperedge HE-4 (induced by source paper "quasirandom rumor spreading"):
  with members:
    - "quasirandom load balancing"
    - "quasirandom rumor spreading an experimental analysis"
    - "quasi random rumor spreading reducing randomness can be costly"
    - "strong robustness of randomized rumor spreading protocols"

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.DM(Discrete Mathematics)