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: "on lorawan scalability empirical evaluation of susceptibility to inter network interference"
  Abstract: Appearing on the stage quite recently, the Low Power Wide Area Networks (LPWANs) are currently getting much of attention. In the current paper we study the susceptibility of one LPWAN technology, namely LoRaWAN, to the inter-network interferences. By means of excessive empirical measurements employing the certified commercial transceivers, we characterize the effect of modulation coding schemes (known for LoRaWAN as data rates (DRs)) of a transmitter and an interferer on probability of successful packet delivery while operating in EU 868 MHz band. We show that in reality the transmissions with different DRs in the same frequency channel can negatively affect each other and that the high DRs are influenced by interferences more severely than the low ones. Also, we show that the LoRa-modulated DRs are affected by the interferences much less than the FSK-modulated one. Importantly, the presented results provide insight into the network-level operation of the LoRa LPWAN technology in general, and its scalability potential in particular. The results can also be used as a reference for simulations and analyses or for defining the communication parameters for real-life applications.

Connected through hyperedge HE-1 (induced by source paper "tackling contention through cooperation a distributed federation in lorawan space"):
  with members:
    - "does bidirectional traffic do more harm than good in lorawan based lpwa networks"
    - "low power wide area network analysis can lora scale"
    - "low power wide area networks an overview"
    - "mitigating inter network interference in lora networks"

Connected through hyperedge HE-2 (induced by source paper "capture aware sequential waterfilling for lorawan adaptive data rate"):
  with members:
    - "how agile is the adaptive data rate mechanism of lorawan"
    - "scalability analysis of a lora network under imperfect orthogonality"
    - "fair adaptive data rate allocation and power control in lorawan"
    - "low power wide area network analysis can lora scale"
    - "mitigating inter network interference in lora networks"

Connected through hyperedge HE-3 (induced by source paper "fair adaptive data rate allocation and power control in lorawan"):
  with members:
    - "lschc layered static context header compression for lpwans"
    - "low power wide area network analysis can lora scale"
    - "low power wide area networks an overview"
    - "a quantitative measure of fairness and discrimination for resource allocation in shared computer systems"

Connected through hyperedge HE-4 (induced by source paper "grant free radio access iot networks scalability analysis in coexistence scenarios"):
  with members:
    - "grant free radio access for short packet communications over 5g networks"
    - "lorawan in the wild measurements from the things network"
    - "low power wide area network analysis can lora scale"
    - "e 2 mac energy efficient medium access for massive m2m communications"
    - "understanding the limits of lorawan"
    - "2d time frequency interference modelling using stochastic geometry for performance evaluation in low power wide area networks"
    - "long range communications in unlicensed bands the rising stars in the iot and smart city scenarios"

Connected through hyperedge HE-5 (induced by source paper "d2d communications in lorawan low power wide area network from idea to empirical validation"):
  with members:
    - "low power wide area network analysis can lora scale"
    - "understanding the iot connectivity landscape a contemporary m2m radio technology roadmap"

Connected through hyperedge HE-6 (induced by source paper "selective jamming of lorawan using commodity hardware"):
  with members:
    - "does bidirectional traffic do more harm than good in lorawan based lpwa networks"
    - "low power wide area network analysis can lora scale"

Connected through hyperedge HE-7 (induced by source paper "analysis of latency and mac layer performance for class a lorawan"):
  with members:
    - "a primer on 3gpp narrowband internet of things nb iot"
    - "understanding the limits of lorawan"

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)