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: "network connectivity in non convex domains with reflections"
  Abstract: Recent research has demonstrated the importance of boundary effects on the overall connection probability of wireless networks but has largely focused on convex deployment regions. We consider here a scenario of practical importance to wireless communications, in which one or more nodes are located outside the convex space where the remaining nodes reside. We call these “external nodes” and assume that they play some essential role in the macro network functionality e.g. a gateway to a dense self-contained mesh network cloud. Conventional approaches with the underlying assumption of only line-of-sight (LOS) or direct connections between nodes fail to provide the correct analysis for such a network setup. To this end we present a novel analytical framework that accommodates for the non-convexity of the domain and explicitly considers the effects of non-LOS nodes through reflections from the domain boundaries. We obtain analytical expressions in 2D and 3D which are confirmed numerically for Rician channel fading statistics and discuss possible extensions and applications.

Connected through hyperedge HE-1 (induced by source paper "spatial networks with wireless applications"):
  with members:
    - "boundaries as an enhancement technique for physical layer security"
    - "on the capacity of fractal wireless networks with direct social interactions"
    - "correlated interference from uncorrelated users in bounded ad hoc networks with blockage"
    - "coverage analysis of a vehicular network modeled as cox process driven by poisson line process"
    - "on the capacity of wireless networks with fractal and hierarchical social communications"
    - "boundaries can enhance physical layer security at high data rates"
    - "temporal correlation of interference in bounded mobile ad hoc networks with blockage"
    - "interference functionals in poisson networks"

Connected through hyperedge HE-2 (induced by source paper "connectivity of cooperative ad hoc networks"):
  with members:
    - "multihop connectivity of ad hoc networks with randomly oriented directional antennas"
    - "location location location border effects in interference limited ad hoc networks"
    - "connectivity scaling laws in wireless networks"
    - "more is less connectivity in fractal regions"
    - "connectivity of confined 3d networks with anisotropically radiating nodes"

Connected through hyperedge HE-3 (induced by source paper "distributed power allocation and channel access probability assignment for cognitive radio"):
  with members:
    - "network connectivity stochastic vs deterministic wireless channels"

Connected through hyperedge HE-4 (induced by source paper "more is less connectivity in fractal regions"):
  with members:
    - "connectivity in dense networks confined within right prisms"
    - "towards a better understanding of large scale network models"

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)