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: "construction and impromptu repair of an mst in a distributed network with o m communication"
  Abstract: In the CONGEST model, a communications network is an undirected graph whose $n$ nodes are processors and whose $m$ edges are the communications links between processors. At any given time step, a message of size $O(\log n)$ may be sent by each node to each of its neighbors. We show for the synchronous model: If all nodes start in the same round, and each node knows its ID and the ID's of its neighbors, or in the case of MST, the distinct weights of its incident edges and knows $n$, then there are Monte Carlo algorithms which succeed w.h.p. to determine a minimum spanning forest (MST) and a spanning forest (ST) using $O(n \log^2 n/\log\log n)$ messages for MST and $O(n \log n )$ messages for ST, resp. These results contradict the "folk theorem" noted in Awerbuch, et.al., JACM 1990 that the distributed construction of a broadcast tree requires $\Omega(m)$ messages. This lower bound has been shown there and in other papers for some CONGEST models; our protocol demonstrates the limits of these models. #R##N#A dynamic distributed network is one which undergoes online edge insertions or deletions. We also show how to repair an MST or ST in a dynamic network with asynchronous communication. An edge deletion can be processed in $O(n\log n /\log \log n)$ expected messages in the MST, and $O(n)$ expected messages for the ST problem, while an edge insertion uses $O(n)$ messages in the worst case. We call this "impromptu" updating as we assume that between processing of edge updates there is no preprocessing or storage of additional information. Previous algorithms for this problem that use an amortized $o(m)$ messages per update require substantial preprocessing and additional local storage between updates.

Connected through hyperedge HE-1 (induced by source paper "message reduction in the local model is a free lunch"):
  with members:
    - "time message trade offs in distributed algorithms"
    - "broadcast and minimum spanning tree with o m messages in the asynchronous congest model"
    - "distributed spanner approximation"
    - "efficient algorithms for constructing very sparse spanners and emulators"
    - "on the complexity of local distributed graph problems"
    - "a fast network decomposition algorithm and its applications to constant time distributed computation"
    - "improved parallel algorithms for spanners and hopsets"
    - "sublinear bounds for randomized leader election"

Connected through hyperedge HE-2 (induced by source paper "latency capacity and distributed mst"):
  with members:
    - "time message trade offs in distributed algorithms"
    - "broadcast and minimum spanning tree with o m messages in the asynchronous congest model"
    - "round and message optimal distributed graph algorithms"
    - "a simple deterministic distributed mst algorithm with near optimal time and message complexities"
    - "a time and message optimal distributed algorithm for minimum spanning trees"
    - "distributed verification and hardness of distributed approximation"

Connected through hyperedge HE-3 (induced by source paper "faster asynchronous mst and low diameter tree construction with sublinear communication"):
  with members:
    - "time message trade offs in distributed algorithms"
    - "broadcast and minimum spanning tree with o m messages in the asynchronous congest model"
    - "a simple deterministic distributed mst algorithm with near optimal time and message complexities"
    - "a time and message optimal distributed algorithm for minimum spanning trees"
    - "distributed verification and hardness of distributed approximation"

Connected through hyperedge HE-4 (induced by source paper "distributed computation in node capacitated networks"):
  with members:
    - "distributed symmetry breaking algorithms for congested cliques"
    - "competitive routing in hybrid communication networks"
    - "further algebraic algorithms in the congested clique model and applications to graph theoretic problems"
    - "near optimal approximate shortest paths and transshipment in distributed and streaming models"
    - "derandomizing local distributed algorithms under bandwidth restrictions"
    - "algebraic methods in the congested clique"
    - "fast distributed algorithms for connectivity and mst in large graphs"
    - "distributed approximation algorithms for weighted shortest paths"

Connected through hyperedge HE-5 (induced by source paper "the communication cost of information spreading in dynamic networks"):
  with members:
    - "information spreading in dynamic networks under oblivious adversaries"
    - "rumor spreading in random evolving graphs"
    - "distributed random walks"
    - "lower bounds on information dissemination in dynamic networks"
    - "parsimonious flooding in geometric random walks"
    - "faster information dissemination in dynamic networks via network coding"
    - "time varying graphs and dynamic networks"
    - "analyzing network coding gossip made easy"

Connected through hyperedge HE-6 (induced by source paper "broadcast and minimum spanning tree with o m messages in the asynchronous congest model"):
  with members:
    - "distributed exact shortest paths in sublinear time"
    - "a simple deterministic distributed mst algorithm with near optimal time and message complexities"
    - "a time and message optimal distributed algorithm for minimum spanning trees"

Connected through hyperedge HE-7 (induced by source paper "fooling views a new lower bound technique for distributed computations under congestion"):
  with members:
    - "symmetry breaking in the congest model time and message efficient algorithms for ruling sets"
    - "a simple deterministic distributed mst algorithm with near optimal time and message complexities"
    - "quadratic and near quadratic lower bounds for the congest model"
    - "tight bounds for distributed graph computations"
    - "distributed testing of excluded subgraphs"
    - "a time and message optimal distributed algorithm for minimum spanning trees"
    - "fast distributed algorithms for testing graph properties"
    - "distributed construction of purely additive spanners"

Connected through hyperedge HE-8 (induced by source paper "near optimal parallel algorithms for dynamic dfs in undirected graphs"):
  with members:
    - "depth first search in the semi streaming model"
    - "dynamic dfs in undirected graphs breaking the o m barrier"
    - "dynamic graph stream algorithms in o n space"
    - "space and time efficient algorithm for maintaining dense subgraphs on one pass dynamic streams"
    - "single pass spectral sparsification in dynamic streams"

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)