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 "local distributed algorithms in highly dynamic networks"):
  Abstract: The present paper studies local distributed graph problems in highly dynamic networks. We define a (in our view) natural generalization of static graph problems to the dynamic graph setting. For some parameter $T>0$, the set of admissible outputs of nodes in a $T$-dynamic solution for a given graph problem at some time $t$ is defined by the dynamic graph topology in the time interval $[t-T,t]$. The guarantees of a $T$-dynamic solution become stronger the more stable the graph remains during the interval $[t-T,t]$ and they coincide with the definition of the static graph problem if the graph is static throughout the interval. We further present an abstract framework that allows to develop distributed algorithms for a given dynamic graph problem. For some $T>0$, the algorithms always output a valid $T$-dynamic solution of the given graph problem. Further, if a constant neighborhood around some part of the graph is stable during an interval $[t_1,t_2]$, the algorithms compute a static solution for this part of the graph throughout the interval $[t_1+T',t_2]$ for some $T'>0$. Ideally $T$ and $T'$ are of the same asymptotic order as the time complexity for solving the given graph problem in static networks. #R##N#We apply our generic framework to two classic distributed symmetry breaking problems: the problem of computing a (degree+1)-vertex coloring and the problem of computing a maximal independent set (MIS) of the network graph. For both problems, we obtain distributed algorithms that always output a valid $O(\log n)$-dynamic solution. Further, if some part of the graph and its $O(1)$-neighborhood remain stable for some interval $[t_1,t_2]$, for the given part of the graph, the algorithms compute a valid static solution for the two problems that remains stable throughout an interval $[t_1+O(\log n),t_2]$.

Includes members:
  Member "simple dynamic algorithms for maximal independent set and other problems":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "coarse grained complexity for dynamic algorithms")
  Member "fully dynamic maximal independent set with sublinear update time":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "coarse grained complexity for dynamic algorithms")
  Member "improved algorithms for fully dynamic maximal independent set":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "coarse grained complexity for dynamic algorithms")
  Member "the cost of global broadcast in dynamic radio networks":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "not a coincidence sub quadratic asynchronous byzantine agreement whp")
  Member "information spreading in dynamic networks under oblivious adversaries":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "the communication cost of information spreading in dynamic networks")
  Member "optimal dynamic distributed mis":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "improved dynamic graph coloring")
  Member "enabling minimal dominating set in highly dynamic distributed systems":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "robustness a new form of heredity motivated by dynamic networks")
  Member "an improved distributed algorithm for maximal independent set":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "space efficient approximation to maximum matching size from uniform edge samples")

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.DS(Data Structures and Algorithms)