human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "a distributed enumeration algorithm and applications to all pairs shortest paths diameter"):
  Abstract: We consider the standard message passing model; we assume the system is fully synchronous: all processes start at the same time and time proceeds in synchronised rounds. In each round each vertex can transmit a different message of size $O(1)$ to each of its neighbours. This paper proposes and analyses a distributed enumeration algorithm of vertices of a graph having a distinguished vertex which satisfies that two vertices with consecutive numbers are at distance at most $3$. We prove that its time complexity is $O(n)$ where $n$ is the number of vertices of the graph. Furthermore, the size of each message is $O(1)$ thus its bit complexity is also $O(n).$ We provide some links between this enumeration and Hamiltonian graphs from which we deduce that this enumeration is optimal in the sense that there does not exist an enumeration which satisfies that two vertices with consecutive numbers are at distance at most $2$. #R##N#We deduce from this enumeration algorithms which compute all pairs shortest paths and the diameter with a time complexity and a bit complexity equal to $O(n)$. This improves the best known distributed algorithms (under the same hypotheses) for computing all pairs shortest paths or the diameter presented in \cite{PRT12,HW12} having a time complexity equal to $O(n)$ and which use messages of size $O(\log n)$ bits.

Includes members:
  Member "distributed approximation algorithms for weighted shortest paths":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "distributed edge connectivity in sublinear time")
  Member "distributed minimum cut approximation":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "beyond alice and bob improved inapproximability for maximum independent set in congest")
  Member "fast distributed computation of distances in networks":
    also connected through other hyperedges:
      (none)
  Member "minimum weight cycles and triangles equivalences and algorithms":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "approximating apsp without scaling equivalence of approximate min plus and exact min max")
  Member "distributed verification and hardness of distributed approximation":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "beyond alice and bob improved inapproximability for maximum independent set in congest")
  Member "fast computation of small cuts via cycle space sampling":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "improved algorithm for min cuts in distributed networks")
  Member "all pairs shortest paths using bridging sets and rectangular matrix multiplication":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "new algorithms and hardness for incremental single source shortest paths in directed graphs")

Question: Please tell me which class the source paper 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)