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: "can p2p networks be super scalable"
  Abstract: We propose a new model for peer-to-peer networking which takes the network bottlenecks into account beyond the access. This model can cope with key features of P2P networking like degree or locality constraints together with the fact that distant peers often have a smaller rate than nearby peers. Using a network model based on rate functions, we give a closed form expression of peers download performance in the system's fluid limit, as well as approximations for the other cases. Our results show the existence of realistic settings for which the average download time is a decreasing function of the load, a phenomenon that we call super-scalability.

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"
    - "stability of a peer to peer communication system"
    - "gossiping with multiple messages"

Connected through hyperedge HE-2 (induced by source paper "stability and metastability of traffic dynamics in uplink random access networks"):
  with members:
    - "self organized scheduling request for uplink 5g networks a d2d clustering approach"
    - "a unified asymptotic analysis of area spectral efficiency in ultradense cellular networks"
    - "spatial birth death wireless networks"
    - "spatiotemporal stochastic modeling of iot enabled cellular networks scalability and stability analysis"
    - "heterogeneous cellular networks with spatio temporal traffic delay analysis and scheduling"
    - "performance laws of large heterogeneous cellular networks"
    - "a tractable approach to coverage and rate in cellular networks"
    - "asymptotic stability region of slotted aloha"

Connected through hyperedge HE-3 (induced by source paper "on the scalability of p2p swarming systems"):
  with members:
    - "a new stable peer to peer protocol with non persistent peers"
    - "a stable fountain code mechanism for peer to peer content distribution"
    - "tree dynamics for peer to peer streaming"
    - "heterogeneous download times in a homogeneous bittorrent swarm"
    - "on the stability of two chunk file sharing systems"
    - "stability of a peer to peer communication system"
    - "the missing piece syndrome in peer to peer communication"
    - "rarest first and choke algorithms are enough"

Connected through hyperedge HE-4 (induced by source paper "spatial birth death wireless networks"):
  with members:
    - "a tractable approach to coverage and rate in cellular networks"
    - "on the flow level dynamics of a packet switched network"

Connected through hyperedge HE-5 (induced by source paper "a stable fountain code mechanism for peer to peer content distribution"):
  with members:
    - "on the benefit of information centric networks for traffic engineering"
    - "contentflow mapping content to flows in software defined networks"
    - "content based traffic engineering in software defined information centric networks"
    - "on the interaction of adaptive video streaming with content centric networking"
    - "network coding meets information centric networking"
    - "on the stability of two chunk file sharing systems"
    - "stability of a peer to peer communication system"
    - "the missing piece syndrome in peer to peer communication"

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)