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 computation of small cuts via cycle space sampling"
  Abstract: We describe a new sampling-based method to determine cuts in an undirected graph. For a graph (V, E), its cycle space is the family of all subsets of E that have even degree at each vertex. We prove that with high probability, sampling the cycle space identifies the cuts of a 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. #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, and the maximum degree by Delta. We obtain simple O(Diam)-time distributed algorithms to find all cut edges, 2-edge-connected components, and cut pairs, matching or improving upon previous time bounds. Under natural conditions these new algorithms are universally optimal --- i.e. a Omega(Diam)-time lower bound holds on every graph. We obtain a O(Diam+Delta/log V)-time distributed algorithm for finding cut vertices; this is faster than the best previous algorithm when Delta, Diam = O(sqrt(V)). A simple extension of our work yields the first distributed algorithm with sub-linear time for 3-edge-connected components. The basic distributed algorithms are Monte Carlo, but they can be made Las Vegas without increasing the asymptotic complexity. #R##N#In the model of parallel computing on the EREW PRAM our approach yields a simple algorithm with optimal time complexity O(log V) for finding cut pairs and 3-edge-connected components.

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 distributed computation of cuts via random circulations"

Connected through hyperedge HE-2 (induced by source paper "distributed edge connectivity in sublinear time"):
  with members:
    - "improved distributed expander decomposition and nearly optimal triangle enumeration"
    - "small cuts and connectivity certificates a fault tolerant approach"
    - "distributed triangle detection via expander decomposition"
    - "graph sparsification spectral sketches and faster resistance computation via short cycle decompositions"
    - "distributed exact weighted all pairs shortest paths in near linear time"
    - "expander decomposition and pruning faster stronger and simpler"
    - "a faster distributed single source shortest paths algorithm"
    - "distributed exact shortest paths in sublinear time"

Connected through hyperedge HE-3 (induced by source paper "small cuts and connectivity certificates a fault tolerant approach"):
  with members:
    - "deterministic combinatorial replacement paths and distance sensitivity oracles"
    - "distributed edge connectivity in sublinear time"
    - "polylogarithmic time deterministic network decomposition and distributed derandomization"
    - "low congestion cycle covers and their applications"
    - "distributed approximation of minimum k edge connected spanning subgraphs"
    - "fast distributed approximation for tap and 2 edge connectivity"
    - "almost tight distributed minimum cut algorithms"
    - "distributed minimum cut approximation"

Connected through hyperedge HE-4 (induced by source paper "distributed approximation of minimum k edge connected spanning subgraphs"):
  with members:
    - "distributed spanner approximation"
    - "fast distributed approximation for tap and 2 edge connectivity"
    - "a simple deterministic distributed mst algorithm with near optimal time and message complexities"
    - "a time and message optimal distributed algorithm for minimum spanning trees"
    - "almost tight distributed minimum cut algorithms"
    - "distributed minimum cut approximation"
    - "distributed connectivity decomposition"
    - "distributed verification and hardness of distributed approximation"

Connected through hyperedge HE-5 (induced by source paper "fast distributed approximation for tap and 2 edge connectivity"):
  with members:
    - "improved distributed approximations for minimum weight two edge connected spanning subgraph"
    - "small cuts and connectivity certificates a fault tolerant approach"
    - "distributed approximation of minimum k edge connected spanning subgraphs"
    - "improved approximation for tree augmentation saving by rewiring"
    - "a simple deterministic distributed mst algorithm with near optimal time and message complexities"
    - "a time and message optimal distributed algorithm for minimum spanning trees"
    - "a simplified 1 5 approximation algorithm for augmenting edge connectivity of a graph from 1 to 2"
    - "approximating unweighted tree augmentation via lift and project part ii"

Connected through hyperedge HE-6 (induced by source paper "a deterministic almost tight distributed algorithm for approximating single source shortest paths"):
  with members:
    - "algebraic methods in the congested clique"
    - "decremental single source shortest paths on undirected graphs in near linear total update time"
    - "approximation of distances and shortest paths in the broadcast congest clique"
    - "fast partial distance estimation and applications"
    - "almost tight distributed minimum cut algorithms"
    - "distributed approximation algorithms for weighted shortest paths"
    - "distributed minimum cut approximation"
    - "tight bounds for distributed minimum weight spanning tree verification"

Connected through hyperedge HE-7 (induced by source paper "a distributed enumeration algorithm and applications to all pairs shortest paths diameter"):
  with members:
    - "distributed approximation algorithms for weighted shortest paths"
    - "distributed minimum cut approximation"
    - "fast distributed computation of distances in networks"
    - "minimum weight cycles and triangles equivalences and algorithms"
    - "distributed verification and hardness of distributed approximation"
    - "all pairs shortest paths using bridging sets and rectangular matrix multiplication"

Connected through hyperedge HE-8 (induced by source paper "distributed approximation algorithms for weighted shortest paths"):
  with members:
    - "brief announcement almost tight approximation distributed algorithm for minimum cut"
    - "distributed minimum cut approximation"
    - "distributed random walks"
    - "tight bounds for distributed minimum weight spanning tree verification"
    - "super fast distributed algorithms for metric facility location"
    - "optimal deterministic routing and sorting on the congested clique"
    - "tri tri again finding triangles and small subgraphs in a distributed setting"
    - "notions of connectivity in overlay networks"

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)