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: "gossiping with multiple messages"
  Abstract: This paper investigates the dissemination of multiple pieces of information in large networks where users contact each other in a random uncoordinated manner, and users upload one piece per unit time. The underlying motivation is the design and analysis of piece selection protocols for peer-to-peer networks which disseminate files by dividing them into pieces. We first investigate one-sided protocols, where piece selection is based on the states of either the transmitter or the receiver. We show that any such protocol relying only on pushes, or alternatively only on pulls, is inefficient in disseminating all pieces to all users. We propose a hybrid one-sided piece selection protocol -- INTERLEAVE -- and show that by using both pushes and pulls it disseminates $k$ pieces from a single source to $n$ users in $10(k+\log n)$ time, while obeying the constraint that each user can upload at most one piece in one unit of time, with high probability for large $n$. An optimal, unrealistic centralized protocol would take $k+\log_2 n$ time in this setting. Moreover, efficient dissemination is also possible if the source implements forward erasure coding, and users push the latest-released coded pieces (but do not pull). We also investigate two-sided protocols where piece selection is based on the states of both the transmitter and the receiver. We show that it is possible to disseminate $n$ pieces to $n$ users in $n+O(\log n)$ time, starting from an initial state where each user has a unique piece.

Connected through hyperedge HE-1 (induced by source paper "stability and scalability of blockchain systems"):
  with members:
    - "prism scaling bitcoin by 10 000x"
    - "markov processes in blockchain systems"
    - "decentralization in bitcoin and ethereum networks"
    - "dandelion lightweight cryptocurrency networking with formal anonymity guarantees"
    - "dandelion redesigning the bitcoin network for anonymity"
    - "majority is not enough bitcoin mining is vulnerable"
    - "can p2p networks be super scalable"
    - "stability of a peer to peer communication system"

Connected through hyperedge HE-2 (induced by source paper "who started this rumor quantifying the natural differential privacy guarantees of gossip protocols"):
  with members:
    - "decentralized stochastic optimization and gossip algorithms with compressed communication"
    - "amplification by shuffling from local to central differential privacy via anonymity"
    - "stochastic gradient push for distributed deep learning"
    - "distributed differential privacy via shuffling"
    - "personalized and private peer to peer machine learning"
    - "decentralized collaborative learning of personalized models over networks"
    - "how to discreetly spread a rumor in a crowd"
    - "communication efficient learning of deep networks from decentralized data"

Connected through hyperedge HE-3 (induced by source paper "the behavior of epidemics under bounded susceptibility"):
  with members:
    - "epidemic spreading with external agents"
    - "epidemic thresholds with external agents"

Connected through hyperedge HE-4 (induced by source paper "epidemic spreading with external agents"):
  with members:
    - "inferring networks of diffusion and influence"
    - "the impact of mobility on gossip algorithms"

Connected through hyperedge HE-5 (induced by source paper "deterministic near optimal p2p streaming"):
  with members:
    - "tree dynamics for peer to peer streaming"
    - "real time peer to peer streaming over multiple random hamiltonian cycles"

Connected through hyperedge HE-6 (induced by source paper "modeling and performance analysis of pull based live streaming schemes in peer to peer network"):
  with members:
    - "fundamental delay bounds in peer to peer chunk based real time streaming systems"

Connected through hyperedge HE-7 (induced by source paper "on the role of mobility for multimessage gossip"):
  with members:
    - "information spreading in dynamic graphs"
    - "tight bounds on information dissemination in sparse mobile networks"
    - "information spreading in stationary markovian evolving graphs"
    - "analyzing network coding gossip made easy"
    - "distributed averaging via lifted markov chains"
    - "the impact of mobility on gossip algorithms"
    - "fast distributed algorithms for computing separable functions"

Connected through hyperedge HE-8 (induced by source paper "algorithms and stability analysis for content distribution over multiple multicast trees"):
  with members:
    - "content distribution by multiple multicast trees and intersession cooperation optimal algorithms and approximations"
    - "fast mixing of parallel glauber dynamics and low delay csma scheduling"
    - "q csma queue length based csma ca algorithms for achieving maximum throughput and low delay in wireless 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.NI(Networking and Internet Architecture)