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: "agreement in directed dynamic networks"
  Abstract: We study distributed computation in synchronous dynamic networks where an omniscient adversary controls the unidirectional communication links. Its behavior is modeled as a sequence of directed graphs representing the active (i.e. timely) communication links per round. We prove that consensus is impossible under some natural weak connectivity assumptions, and introduce vertex-stable root components as a means for circumventing this impossibility. Essentially, we assume that there is a short period of time during which an arbitrary part of the network remains strongly connected, while its interconnect topology may keep changing continuously. We present a consensus algorithm that works under this assumption, and prove its correctness. Our algorithm maintains a local estimate of the communication graphs, and applies techniques for detecting stable network properties and univalent system configurations. Our possibility results are complemented by several impossibility results and lower bounds for consensus and other distributed computing problems like leader election, revealing that our algorithm is asymptotically optimal.

Connected through hyperedge HE-1 (induced by source paper "consensus in rooted dynamic networks with short lived stability"):
  with members:
    - "gracefully degrading consensus and k set agreement in directed dynamic networks"
    - "fast consensus under eventually stabilizing message adversaries"
    - "approximate consensus in highly dynamic networks the role of averaging algorithms"
    - "asynchrony from synchrony"
    - "time varying graphs and dynamic networks"

Connected through hyperedge HE-2 (induced by source paper "minmax algorithms for stabilizing consensus"):
  with members:
    - "stabilizing consensus with many opinions"
    - "approximate consensus in highly dynamic networks the role of averaging algorithms"
    - "time varying graphs and dynamic networks"

Connected through hyperedge HE-3 (induced by source paper "patrolling on dynamic ring networks"):
  with members:
    - "gathering in dynamic rings"
    - "polynomial counting in anonymous dynamic networks with applications to anonymous dynamic algebraic computations"
    - "self stabilizing robots in highly dynamic environments"
    - "an introduction to temporal graphs an algorithmic perspective"
    - "live exploration of dynamic rings"
    - "fence patrolling by mobile agents with distinct speeds"
    - "on temporal graph exploration"
    - "dmvp foremost waypoint coverage of time varying graphs"

Connected through hyperedge HE-4 (induced by source paper "recent results on fault tolerant consensus in message passing networks"):
  with members:
    - "xft practical fault tolerance beyond crashes"
    - "gracefully degrading consensus and k set agreement in directed dynamic networks"
    - "approximate consensus in highly dynamic networks the role of averaging algorithms"
    - "iterative approximate consensus in the presence of byzantine link failures"
    - "asynchronous convex consensus in the presence of crash faults"
    - "reaching approximate byzantine consensus with multi hop communication"
    - "byzantine vector consensus in complete graphs"
    - "iterative byzantine vector consensus in incomplete graphs"

Connected through hyperedge HE-5 (induced by source paper "live exploration of dynamic rings"):
  with members:
    - "an introduction to temporal graphs an algorithmic perspective"
    - "on temporal graph exploration"
    - "naming and counting in anonymous unknown dynamic networks"
    - "lower bounds on information dissemination in dynamic networks"
    - "shortest fastest and foremost broadcast in dynamic networks"
    - "information spreading in dynamic graphs"
    - "information spreading in stationary markovian evolving graphs"
    - "time varying graphs and dynamic networks"

Connected through hyperedge HE-6 (induced by source paper "gracefully degrading consensus and k set agreement in directed dynamic networks"):
  with members:
    - "consensus in rooted dynamic networks with short lived stability"
    - "fast consensus under eventually stabilizing message adversaries"
    - "asynchrony from synchrony"
    - "easy impossibility proofs for k set agreement in message passing systems"
    - "solving k set agreement with stable skeleton graphs"
    - "time varying graphs and dynamic networks"

Connected through hyperedge HE-7 (induced by source paper "fast consensus under eventually stabilizing message adversaries"):
  with members:
    - "gracefully degrading consensus and k set agreement in directed dynamic networks"
    - "asynchrony from synchrony"
    - "time varying graphs and dynamic networks"

Connected through hyperedge HE-8 (induced by source paper "approximate consensus in highly dynamic networks the role of averaging algorithms"):
  with members:
    - "iterative byzantine vector consensus in incomplete graphs"
    - "orientation and connectivity based criteria for asymptotic consensus"

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)