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: "exact byzantine consensus in directed graphs"
  Abstract: For synchronous point-to-point n-node networks of undirected links, it has been previously shown that, to achieve consensus in presence of up to f Byzantine faults, the following two conditions are together necessary and sufficient: (i) n ≥ 3f + 1 and (ii) network connectivity greater than 2f . The first condition, that is, n ≥ 3f + 1, is known to be necessary for directed graphs as well. On the other hand, the second condition on connectivity is not necessary for directed graphs. So far, tight necessary and sufficient condition for Byzantine consensus in directed graphs has not been developed. This paper presents tight necessary and sufficient condition for achieving Byzantine consensus in synchronous networks that can be represented as directed graphs. We provide a constructive proof of sufficiency by presenting a new Byzantine consensus algorithm for directed graphs. Further work is needed to improve the message overhead of Byzantine consensus in directed graphs.

Connected through hyperedge HE-1 (induced by source paper "exact byzantine consensus on undirected graphs under local broadcast model"):
  with members:
    - "byzantine consensus under local broadcast model tight sufficient condition"
    - "exact byzantine consensus under local broadcast model"
    - "iterative byzantine vector consensus in incomplete graphs"
    - "broadcast using certified propagation algorithm in presence of byzantine faults"
    - "iterative approximate byzantine consensus under a generalized fault model"
    - "iterative approximate byzantine consensus in arbitrary directed graphs"
    - "robustness of information diffusion algorithms to locally bounded adversaries"

Connected through hyperedge HE-2 (induced by source paper "byzantine consensus under local broadcast model tight sufficient condition"):
  with members:
    - "exact byzantine consensus under local broadcast model"
    - "broadcast using certified propagation algorithm in presence of byzantine faults"
    - "robustness of information diffusion algorithms to locally bounded adversaries"

Connected through hyperedge HE-3 (induced by source paper "crash tolerant consensus in directed graphs"):
  with members:
    - "asynchronous convex consensus in the presence of crash faults"
    - "fault tolerant consensus in unknown and anonymous 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)