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: "asynchrony from synchrony"
  Abstract: We consider synchronous dynamic networks which like radio networks may have asymmetric communication links, and are affected by communication rather than processor failures. In this paper we investigate the minimal message survivability in a per round basis that allows for the minimal global cooperation, i.e., allows to solve any task that is wait-free read-write solvable. The paper completely characterizes this survivability requirement. Message survivability is formalized by considering adversaries that have a limited power to remove messages in a round. Removal of a message on a link in one direction does not necessarily imply the removal of the message on that link in the other direction. Surprisingly there exist a single strongest adversary which solves any wait-free read/write task. Any different adversary that solves any wait-free read/write task is weaker, and any stronger adversary will not solve any wait-free read/write task. ABD \cite{ABD} who considered processor failure, arrived at an adversary that is $n/2$ resilient, consequently can solve tasks, such as $n/2$-set-consensus, which are not read/write wait-free solvable. With message adversaries, we arrive at an adversary which has exactly the read-write wait-free power. Furthermore, this adversary allows for a considerably simpler (simplest that we know of) proof that the protocol complex of any read/write wait-free task is a subdivided simplex, finally making this proof accessible for students with no algebraic-topology prerequisites, and alternatively dispensing with the assumption that the Immediate Snapshot complex is a subdivided simplex.

Connected through hyperedge HE-1 (induced by source paper "k set agreement bounds in round based models through combinatorial topology"):
  with members:
    - "a topological perspective on distributed network algorithms"
    - "topological characterization of consensus under general message adversaries"
    - "approximate consensus in highly dynamic networks the role of averaging algorithms"

Connected through hyperedge HE-2 (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"
    - "agreement in directed dynamic networks"
    - "time varying graphs and dynamic networks"

Connected through hyperedge HE-3 (induced by source paper "topological characterization of consensus under general message adversaries"):
  with members:
    - "consensus in rooted dynamic networks with short lived stability"
    - "on the hardness of the strongly dependent decision problem"
    - "gracefully degrading consensus and k set agreement in directed dynamic networks"

Connected through hyperedge HE-4 (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"
    - "agreement in directed dynamic networks"
    - "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-5 (induced by source paper "fast consensus under eventually stabilizing message adversaries"):
  with members:
    - "gracefully degrading consensus and k set agreement in directed dynamic networks"
    - "agreement in directed dynamic networks"
    - "time varying graphs and dynamic networks"

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)