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: "multi access edge computing the driver behind the wheel of 5g connected cars"
  Abstract: The automotive and telco industries have taken an investment bet on the connected car market, pushing for the digital transformation of the sector by exploiting recent Information and Communication Technology (ICT) progress. As ICT developments continue, it is expected that the technology advancements will be able to fulfill the sophisticated requirements for vehicular use cases, such as low latency and reliable communications for safety, high computing power to process large amount of sensed data, and increased bandwidth for on-board infotainment. #R##N#The aforementioned requirements have received significant focus during the ongoing definition of the 3GPP 5G mobile standards, where there has been a drive to facilitate vertical industries such as automotive, in addition to providing the core aspects of the communication infrastructure. Of the technology enablers for 5G, Multi-access Edge Computing (MEC) can be considered essential. That is, a cloud environment located at the edge of the network, in proximity of the end-users and coupled with the service provider's network infrastructure. Even before 5G is rolled out, current mobile networks can already target support for these challenging use cases using MEC technology. This is because MEC is able to fulfill low latency and high bandwidth requirements, and, in addition, it lends itself to be deployed at the vertical industrial sector premises such as road infrastructure, air/sea ports, smart factories, etc., thus, bringing computing power where it is needed most. #R##N#This work showcases the automotive use cases that are relevant for MEC, providing insights into the technologies specified and investigated by the ETSI MEC Industry Specification Group (ISG), who were the pioneer in creating a standardized computing platform for advanced mobile networks with regards to network edge related use cases.

Connected through hyperedge HE-1 (induced by source paper "edge computing a comprehensive survey of current initiatives and a roadmap for a sustainable edge computing development"):
  with members:
    - "survey on multi access edge computing for internet of things realization"
    - "mobile edge computing fog et al a survey and analysis of security threats and challenges"

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)