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: "time message trade offs in distributed algorithms"
  Abstract: This paper focuses on showing time-message trade-offs in distributed algorithms for fundamental problems such as leader election, broadcast, spanning tree (ST), minimum spanning tree (MST), minimum cut, and many graph verification problems. We consider the synchronous CONGEST distributed computing model and assume that each node has initial knowledge of itself and the identifiers of its neighbors - the so-called KT1 model - a well-studied model that also naturally arises in many applications. Recently, it has been established that one can obtain (almost) singularly optimal algorithms, i.e., algorithms that have simultaneously optimal time and message complexity (up to polylogarithmic factors), for many fundamental problems in the standard KT0 model (where nodes have only local knowledge of themselves and not their neighbors). The situation is less clear in the KT1 model. In this paper, we present several new distributed algorithms in the KT1 model that trade off between time and message complexity. #R##N#Our distributed algorithms are based on a uniform approach which involves constructing a sparsified spanning subgraph of the original graph - called a danner - that trades off the number of edges with the diameter of the sparsifier. In particular, a key ingredient of our approach is a distributed randomized algorithm that, given a graph G and any delta in [0, 1], with high probability constructs a danner that has diameter Otilde(D + n^(1 - delta)) and Otilde(min{m, n^(1 + delta)}) edges in Otilde(n^(1 - delta)) rounds while using Otilde(min{m, n^(1 + delta)}) messages, where n, m, and D are the number of nodes, edges, and the diameter of G, respectively. Using our danner construction, we present a family of distributed randomized algorithms for various fundamental problems that exhibit a trade-off between message and time complexity and that improve over previous results.

Connected through hyperedge HE-1 (induced by source paper "message reduction in the local model is a free lunch"):
  with members:
    - "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"
    - "construction and impromptu repair of an mst in a distributed network with o m communication"
    - "improved parallel algorithms for spanners and hopsets"
    - "sublinear bounds for randomized leader election"

Connected through hyperedge HE-2 (induced by source paper "low congestion shortcut and graph parameters"):
  with members:
    - "round and message optimal distributed graph algorithms"
    - "minor excluded network families admit fast distributed algorithms"
    - "distributed treewidth computation"
    - "new distributed algorithms in almost mixing time via transformations from parallel algorithms"
    - "faster distributed shortest path approximations via shortcuts"
    - "near linear lower bounds for distributed distance computations even in sparse networks"
    - "low congestion shortcuts without embedding"
    - "intersection graphs an introduction"

Connected through hyperedge HE-3 (induced by source paper "scalable and secure computation among strangers resource competitive byzantine protocols"):
  with members:
    - "sending a message with unknown noise"
    - "torbricks blocking resistant tor bridge distribution"
    - "interactive communication with unknown noise rate"
    - "bitcoin ng a scalable blockchain protocol"
    - "sublinear bounds for randomized leader election"
    - "making evildoers pay resource competitive broadcast in sensor networks"
    - "breaking the o n 2 bit barrier scalable byzantine agreement with an adaptive adversary"

Connected through hyperedge HE-4 (induced by source paper "latency capacity and distributed mst"):
  with members:
    - "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"
    - "construction and impromptu repair of an mst in a distributed network with o m communication"
    - "distributed verification and hardness of distributed approximation"

Connected through hyperedge HE-5 (induced by source paper "faster asynchronous mst and low diameter tree construction with sublinear communication"):
  with members:
    - "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"
    - "construction and impromptu repair of an mst in a distributed network with o m communication"
    - "distributed verification and hardness of distributed approximation"

Connected through hyperedge HE-6 (induced by source paper "a time and message optimal distributed algorithm for minimum spanning trees"):
  with members:
    - "round and message optimal distributed graph algorithms"
    - "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"
    - "low congestion shortcuts without embedding"
    - "a deterministic almost tight distributed algorithm for approximating single source shortest paths"
    - "construction and impromptu repair of an mst in a distributed network with o m communication"
    - "distributed symmetry breaking in hypergraphs"
    - "distributed approximation algorithms for weighted shortest paths"

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)