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: "connecting the world of embedded mobiles the riot approach to ubiquitous networking for the internet of things"
  Abstract: The Internet of Things (IoT) is rapidly evolving based on low-power compliant protocol standards that extend the Internet into the embedded world. Pioneering implementations have proven it is feasible to inter-network very constrained devices, but had to rely on peculiar cross-layered designs and offer a minimalistic set of features. In the long run, however, professional use and massive deployment of IoT devices require full-featured, cleanly composed, and flexible network stacks. #R##N#This paper introduces the networking architecture that turns RIOT into a powerful IoT system, to enable low-power wireless scenarios. RIOT networking offers (i) a modular architecture with generic interfaces for plugging in drivers, protocols, or entire stacks, (ii) support for multiple heterogeneous interfaces and stacks that can concurrently operate, and (iii) GNRC, its cleanly layered, recursively composed default network stack. We contribute an in-depth analysis of the communication performance and resource efficiency of RIOT, both on a micro-benchmarking level as well as by comparing IoT communication across different platforms. Our findings show that, though it is based on significantly different design trade-offs, the networking subsystem of RIOT achieves a performance equivalent to that of Contiki and TinyOS, the two operating systems which pioneered IoT software platforms.

Connected through hyperedge HE-1 (induced by source paper "iot content object security with oscore and ndn a first experimental comparison"):
  with members:
    - "ndn coap and mqtt a comparative measurement study in the iot"
    - "information centric networking in the iot experiments with ndn in the wild"

Connected through hyperedge HE-2 (induced by source paper "gain more for less the surprising benefits of qos management in constrained ndn networks"):
  with members:
    - "content delivery latency of caching strategies for information centric iot"
    - "ndn coap and mqtt a comparative measurement study in the iot"
    - "jointly optimal routing and caching for arbitrary network topologies"
    - "information centric networking in the iot experiments with ndn in the wild"
    - "backscatter from the data plane threats to stability and security in information centric network infrastructure"

Connected through hyperedge HE-3 (induced by source paper "a dtls abstraction layer for the recursive networking architecture in riot"):
  with members:
    - "ndn coap and mqtt a comparative measurement study in the iot"

Connected through hyperedge HE-4 (induced by source paper "a lesson in scaling 6lowpan minimal fragment forwarding in lossy networks"):
  with members:
    - "old wine in new skins revisiting the software architecture for ip network stacks on constrained iot devices"

Connected through hyperedge HE-5 (induced by source paper "ndn coap and mqtt a comparative measurement study in the iot"):
  with members:
    - "a survey of communication protocols for internet of things and related challenges of fog and cloud computing integration"
    - "hopp robust and resilient publish subscribe for an information centric internet of things"
    - "coap over icn"
    - "observing iot resources over icn"
    - "adn an information centric networking architecture for the internet of things"
    - "icn enabling coap extensions for ip based iot devices"
    - "information centric networking in the iot experiments with ndn in the wild"
    - "backscatter from the data plane threats to stability and security in information centric network infrastructure"

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)