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: "scalable bft consensus mechanism through aggregated signature gossip"
  Abstract: In this paper, we present a new BFT consensus mechanism which enables thousands of nodes to participate in the consensus process, and supports very high transaction throughput. This is achieved via an aggregated signature gossip protocol which can significantly reduce the messaging complexity and thus allows a large number of nodes to reach consensus quickly. The proposed aggregated signature gossip protocol leverages a non-interactive leaderless BLS signature aggregation scheme. We have proven the correctness of the protocol, and analyzed its efficiency. In our analysis, each node only needs to send and receive O(logn) messages to reach agreement, where each message just contains a couple kilobytes of data.

Connected through hyperedge HE-1 (induced by source paper "a survey of distributed consensus protocols for blockchain networks"):
  with members:
    - "deconstructing blockchains a comprehensive survey on consensus membership and structure"
    - "a survey on consensus mechanisms and mining strategy management in blockchain networks"
    - "asymmetric distributed trust"
    - "decentralization in bitcoin and ethereum networks"
    - "hyperledger fabric a distributed operating system for permissioned blockchains"
    - "scaling nakamoto consensus to thousands of transactions per second"
    - "correctness and fairness of tendermint core blockchains"
    - "blockchains consensus protocols in the wild"

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)