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: "highly intensive data dissemination in complex networks"
  Abstract: Abstract   This paper presents a study on data dissemination in unstructured Peer-to-Peer (P2P) network overlays. The absence of a structure in unstructured overlays eases the network management, at the cost of non-optimal mechanisms to spread messages in the network. Thus, dissemination schemes must be employed that allow covering a large portion of the network with a high probability (e.g. gossip based approaches). We identify principal metrics, provide a theoretical model and perform the assessment evaluation using a high performance simulator that is based on a parallel and distributed architecture. A main point of this study is that our simulation model considers implementation technical details, such as the use of caching and Time To Live (TTL) in message dissemination, that are usually neglected in simulations, due to the additional overhead they cause. Outcomes confirm that these technical details have an important influence on the performance of dissemination schemes and that the studied schemes are quite effective to spread information in P2P overlay networks, whatever their topology. Moreover, the practical usage of such dissemination mechanisms requires a fine tuning of many parameters, the choice between different network topologies and the assessment of behaviors such as free riding. All this can be done only using efficient simulation tools to support both the network design phase and, in some cases, at runtime.

Connected through hyperedge HE-1 (induced by source paper "agent based simulation of blockchains"):
  with members:
    - "simblock a blockchain network simulator"
    - "likestarter a smart contract based social dao for crowdfunding"
    - "a survey of distributed consensus protocols for blockchain networks"
    - "decentralization in bitcoin and ethereum networks"
    - "a blockchain based flight data recorder for cloud accountability"
    - "the simulation model partitioning problem an adaptive solution based on self clustering"
    - "majority is not enough bitcoin mining is vulnerable"

Connected through hyperedge HE-2 (induced by source paper "on the ethereum blockchain structure a complex networks theory perspective"):
  with members:
    - "likestarter a smart contract based social dao for crowdfunding"
    - "towards blockchain enabled wireless mesh networks"
    - "a blockchain based flight data recorder for cloud accountability"
    - "towards blockchain based auditable storage and sharing of iot data"
    - "smart contract slas for dense small cell as a service"
    - "a blockchain based approach for data accountability and provenance tracking"
    - "simulation of the internet of things"

Connected through hyperedge HE-3 (induced by source paper "internet based adaptive distributed simulation of mobile ad hoc networks"):
  with members:
    - "anonymity and confidentiality in secure distributed simulation"
    - "the simulation model partitioning problem an adaptive solution based on self clustering"
    - "multi level simulation of internet of things on smart territories"
    - "simulation of the internet of things"
    - "fault tolerant adaptive parallel and distributed simulation"
    - "new trends in parallel and distributed simulation from many cores to cloud computing"

Connected through hyperedge HE-4 (induced by source paper "likestarter a smart contract based social dao for crowdfunding"):
  with members:
    - "the ico phenomenon and its relationships with ethereum smart contract environment"
    - "a blockchain based flight data recorder for cloud accountability"
    - "decentralized applications the blockchain empowered software system"

Connected through hyperedge HE-5 (induced by source paper "fault tolerant adaptive parallel and distributed simulation through functional replication"):
  with members:
    - "the simulation model partitioning problem an adaptive solution based on self clustering"
    - "multi level simulation of internet of things on smart territories"
    - "fault tolerant adaptive parallel and distributed simulation"

Connected through hyperedge HE-6 (induced by source paper "modeling the internet of things a simulation perspective"):
  with members:
    - "the simulation model partitioning problem an adaptive solution based on self clustering"
    - "multi level simulation of internet of things on smart territories"
    - "osmnx new methods for acquiring constructing analyzing and visualizing complex street networks"
    - "a survey on handover management in mobility architectures"
    - "smart shires the revenge of countrysides"
    - "simulation of the internet of things"
    - "new trends in parallel and distributed simulation from many cores to cloud computing"
    - "cloudsim a novel framework for modeling and simulation of cloud computing infrastructures and services"

Connected through hyperedge HE-7 (induced by source paper "multi level simulation of internet of things on smart territories"):
  with members:
    - "a survey on handover management in mobility architectures"
    - "smart shires the revenge of countrysides"
    - "simulation of the internet of things"
    - "smart multihoming in smart shires mobility and communication management for smart services in countrysides"
    - "new trends in parallel and distributed simulation from many cores to cloud computing"
    - "lunes agent based simulation of p2p systems"
    - "parallel and distributed simulation from many cores to the public cloud"

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)