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: "a fast network decomposition algorithm and its applications to constant time distributed computation"
  Abstract: A partition $(C_1,C_2,...,C_q)$ of $G = (V,E)$ into clusters of strong (respectively, weak) diameter $d$, such that the supergraph obtained by contracting each $C_i$ is $\ell$-colorable is called a strong (resp., weak) $(d, \ell)$-network-decomposition. Network-decompositions were introduced in a seminal paper by Awerbuch, Goldberg, Luby and Plotkin in 1989. Awerbuch et al. showed that strong $(exp\{O(\sqrt{ \log n \log \log n})\}, exp\{O(\sqrt{ \log n \log \log n})\})$-network-decompositions can be computed in distributed deterministic time $exp\{O(\sqrt{ \log n \log \log n})\}$. #R##N#The result of Awerbuch et al. was improved by Panconesi and Srinivasan in 1992: in the latter result $d = \ell = exp\{O(\sqrt{\log n})\}$, and the running time is $exp\{O(\sqrt{\log n})\}$ as well. Much more recently Barenboim (2012) devised a distributed randomized constant-time algorithm for computing strong network decompositions with $d = O(1)$. However, the parameter $\ell$ in his result is $O(n^{1/2 + \epsilon})$. #R##N#In this paper we drastically improve the result of Barenboim and devise a distributed randomized constant-time algorithm for computing strong $(O(1), O(n^{\epsilon}))$-network-decompositions. As a corollary we derive a constant-time randomized $O(n^{\epsilon})$-approximation algorithm for the distributed minimum coloring problem, improving the previously best-known $O(n^{1/2 + \epsilon})$ approximation guarantee. We also derive other improved distributed algorithms for a variety of problems. #R##N#Most notably, for the extremely well-studied distributed minimum dominating set problem currently there is no known deterministic polylogarithmic-time algorithm. We devise a {deterministic} polylogarithmic-time approximation algorithm for this problem, addressing an open problem of Lenzen and Wattenhofer (2010).

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"
    - "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 "improved network decompositions using small messages with applications on mis neighborhood covers and beyond"):
  with members:
    - "deterministic distributed dominating set approximation in the congest model"
    - "distributed strong diameter network decomposition"
    - "an improved distributed algorithm for maximal independent set"
    - "parallel graph decompositions using random shifts"
    - "the locality of distributed symmetry breaking"
    - "on the locality of some np complete problems"
    - "near linear work parallel sdd solvers low diameter decomposition and low stretch subgraphs"

Connected through hyperedge HE-3 (induced by source paper "near additive spanners in low polynomial deterministic congest time"):
  with members:
    - "deterministic distributed ruling sets of line graphs"
    - "improved deterministic distributed construction of spanners"
    - "efficient algorithms for constructing very sparse spanners and emulators"
    - "a hierarchy of lower bounds for sublinear additive spanners"
    - "hopsets with constant hopbound and applications to approximate shortest paths"
    - "the 4 3 additive spanner exponent is tight"
    - "a deterministic almost tight distributed algorithm for approximating single source shortest paths"

Connected through hyperedge HE-4 (induced by source paper "fast deterministic constructions of linear size spanners and skeletons"):
  with members:
    - "deterministic distributed ruling sets of line graphs"
    - "improved deterministic distributed construction of spanners"
    - "efficient algorithms for constructing very sparse spanners and emulators"
    - "parallel graph decompositions using random shifts"

Connected through hyperedge HE-5 (induced by source paper "fast distributed backup placement in sparse and dense networks"):
  with members:
    - "improved deterministic distributed matching via rounding"
    - "deterministic distributed delta o delta edge coloring and vertex coloring of graphs with bounded diversity"
    - "on the locality of some np complete problems"

Connected through hyperedge HE-6 (induced by source paper "distributed spanner approximation"):
  with members:
    - "distributed approximation of minimum k edge connected spanning subgraphs"
    - "improved deterministic distributed construction of spanners"
    - "distributed property testing for subgraph freeness revisited"
    - "quadratic and near quadratic lower bounds for the congest model"
    - "on derandomizing local distributed algorithms"
    - "distributed distance bounded network design through distributed convex programming"
    - "near linear lower bounds for distributed distance computations even in sparse networks"
    - "efficient algorithms for constructing very sparse spanners and emulators"

Connected through hyperedge HE-7 (induced by source paper "distributed minimum vertex coloring and maximum independent set in chordal graphs"):
  with members:
    - "simple and near optimal distributed coloring for sparse graphs"
    - "on the complexity of local distributed graph problems"
    - "an improved distributed algorithm for maximal independent set"
    - "the locality of distributed symmetry breaking"
    - "on the locality of some np complete problems"

Connected through hyperedge HE-8 (induced by source paper "locally iterative distributed delta 1 coloring below szegedy vishwanathan barrier and applications to self stabilization and to restricted bandwidth models"):
  with members:
    - "symmetry breaking in the congest model time and message efficient algorithms for ruling sets"
    - "deterministic distributed edge coloring via hypergraph maximal matching"
    - "polynomial lower bound for distributed graph coloring in a weak local model"
    - "derandomizing local distributed algorithms under bandwidth restrictions"
    - "on the complexity of local distributed graph problems"
    - "optimal dynamic distributed mis"
    - "toward more localized local algorithms removing assumptions concerning global knowledge"
    - "the locality of distributed symmetry breaking"

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)