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: "fast distributed computation of cuts via random circulations"
  Abstract: We describe a new circulation-based method to determine cuts in an undirected graph. A circulation is an oriented labeling of edges with integers so that at each vertex, the sum of the in-labels equals the sum of out-labels. For an integer k, our approach is based on simple algorithms for sampling a circulation (mod k) uniformly at random. We prove that with high probability, certain dependencies in the random circulation correspond to cuts in the graph. This leads to simple new linear-time sequential algorithms for finding all cut edges and cut pairs (a set of 2 edges that form a cut) of a graph, and hence 2-edge-connected and 3-edge-connected components. #R##N#In the model of distributed computing in a graph G=(V,E) with O(log |V|)-bit messages, our approach yields faster algorithms for several problems. The diameter of G is denoted by Diam. Previously, Thurimella [J. Algorithms, 1997] gave a O(Diam + sqrt(|V|)log^*|V|)-time algorithm to identify all cut vertices, 2-edge-connected components, and cut edges, and Tsin [Int. J. Found. Comput. Sci., 2006] gave a O(|V|+Diam^2)-time algorithm to identify all cut pairs and 3-edge-connected components. #R##N#We obtain O(Diam)-time distributed algorithms to find all cut edges and cut pairs, matching or improving previous time bounds on all graphs. Under certain assumptions these new algorithms are universally optimal. This yields the first distributed algorithms with sub-linear time for cut pairs. Let Delta denote the maximum degree. We obtain a O(Diam+Delta/log|V|)-time distributed algorithm for finding cut vertices; this is faster than Thurimella's algorithm on all graphs with Delta, Diam = O(sqrt(|V|)). The basic distributed algorithms are Monte Carlo, but can be made Las Vegas without increasing the asymptotic complexity.

Connected through hyperedge HE-1 (induced by source paper "improved algorithm for min cuts in distributed networks"):
  with members:
    - "a simple deterministic distributed mst algorithm with near optimal time and message complexities"
    - "local flow partitioning for faster edge connectivity"
    - "a time and message optimal distributed algorithm for minimum spanning trees"
    - "deterministic global minimum cut of a simple graph in near linear time"
    - "almost tight distributed minimum cut algorithms"
    - "distributed minimum cut approximation"
    - "distributed verification and hardness of distributed approximation"
    - "fast computation of small cuts via cycle space sampling"

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.DC(Distributed, Parallel, and Cluster Computing)